IP Library Granted Patent US 9,634,870
Granted Patent B2
US 9,634,870 · App. 15/007,149 · Granted Apr 25, 2017

Optimized receivers for faster than nyquist (FTN) transmission rates in high spectral efficiency satellite systems

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Quick Facts
Patent No.
US 9,634,870
App. No.
15/007,149
Granted
Apr 25, 2017
Kind
B2
Abstract

An approach is provided for increasing transmission throughput rates for a source signal transmitted over a wireless channel, applying faster-than-Nyquist (FTN) signaling rates combined with tight frequency roll-off to the a source signal. A receiver is provided that compensates for ISI effects induced by the FTN rate and tight frequency roll-off, where the complexity of the receiver grows only linearly with the interference memory. The receiver comprises an equalizer configured to compensate for the ISI effects, and a decoder configured to decode the output of the equalizer to determine and regenerate the source signal. The receiver processes the received signal via a plurality of processing iterations. For one processing iteration, the decoder generates a set of a posteriori soft information based on the output of the equalizer, and the equalizer uses the a posteriori soft information as a priori soft information for a subsequent processing iteration.

Claims (174)

1. An apparatus comprising:

a receiver configured to receive a signal transmitted over a wireless channel via a high-power amplifier of a transponder,

wherein the received signal comprises a discrete carrier signal of a respective carrier phase and frequency, and wherein the carrier signal reflects a plurality of source data symbols of a respective source signal with which it was modulated, and

wherein the carrier signal includes inter-symbol interference (ISI) effects induced based on a faster-than-Nyquist (FTN) signaling rate and a tight frequency roll-off applied to the respective source signal for transmission over the wireless channel;

a sampler circuit configured to sample the carrier signal at the FTN signaling rate to generate a sequence of sampled estimates of the source data symbols of the respective source signal; and

a receive signal processor configured to process the sequence of sampled source data symbol estimates to determine original source data symbols of the respective source signal;

wherein the receive signal processor comprises:

an equalizer configured to compensate for the ISI effects induced based on the FTN signaling rate and the tight frequency roll-off applied to the source signal; and

a decoder configured to decode an output of the equalizer to determine and regenerate the respective source signal for the carrier signal.

2. The apparatus according to claim 1 , wherein the FTN signaling rate is approximately 6% and the tight frequency roll-off is approximately 5%.

3. The apparatus according to claim 1 , wherein, in compensating for the ISI effects induced by the FTN signaling rate and tight frequency roll-off, the equalizer is configured to use a priori soft information of every code bit for the carrier on which the source signal was transmitted.

4. The apparatus according to claim 3 , wherein the a priori soft information comprises log-likelihood ratios (LLRs).

5. The apparatus according to claim 3 , wherein:

the decoder is further configured to generate a set of a posteriori log-likelihood ratios (LLRs) based on the output of the equalizer; and

the a priori soft information used by the equalizer comprises the a posteriori LLRs generated by the decoder.

6. The apparatus according to claim 3 , wherein, in compensating for the ISI effects induced by the FTN signaling rate and tight frequency roll-off, the receive signal processor is configured to process the received signal via a plurality of processing iterations, and wherein:

for a one processing iteration, the decoder is further configured to generate a set of a posteriori soft information based on the output of the equalizer; and

for a processing iteration subsequent to the one processing iteration, the a priori soft information used by the equalizer comprises the a posteriori soft information generated by the decoder for the one processing iteration.

7. The apparatus according to claim 3 , wherein, in compensating for the ISI effects induced by the FTN signaling rate and tight frequency roll-off, the receive signal processor is configured to process the received signal via a plurality of processing iterations, and wherein the receive signal processor further comprises:

a log-likelihood ratio (LLR) processor configured to generate, for a one processing iteration, a set of a posteriori log-likelihood ratios (LLRs) based on the output of the equalizer; and

wherein the decoder is further configured to decode, for the one processing iteration, the a posteriori LLRs generated by the LLR processor, and to provide the decoded a posteriori LLRs back to the equalizer; and

wherein the a priori soft information used by the equalizer, for a processing iteration subsequent to the one processing iteration, comprises the decoded a posteriori LLRs provided by the decoder from the one processing iteration.

8. The apparatus according to claim 7 , further comprising:

a deinterleaver configured to deinterleave the a posteriori LLRs generated by the LLR processor before being decoded by the decoder; and

an interleaver configured to interleave the decoded a posteriori LLRs generated by the decoder prior to being provided back to the equalizer.

9. A method comprising:

receiving, by a communications terminal, a signal transmitted over a wireless channel via a high-power amplifier of a transponder, wherein the received signal comprises a discrete carrier signal of a respective carrier phase and frequency, and wherein the carrier signal reflects a plurality of source data symbols of a respective source signal with which it was modulated, and wherein the carrier signal includes inter-symbol interference (ISI) effects induced based on a faster-than-Nyquist (FTN) signaling rate and a tight frequency roll-off applied to the respective source signal for transmission over the wireless channel;

sampling the carrier signal at the FTN signaling rate to generate a sequence of sampled estimates of the source data symbols of the respective source signal; and

processing the sequence of sampled source data symbol estimates to determine original source data symbols of the respective source signal;

wherein the processing of the sequence of sampled source data symbol estimates comprises:

equalizing the sequence of sampled source data symbol estimates to compensate for the ISI effects induced based on the FTN signaling rate and the tight frequency roll-off applied to the source signal; and

decoding an output of the equalizing step to determine and regenerate the respective source signal.

10. The method according to claim 9 , wherein the FTN signaling rate is approximately 6% and the tight frequency roll-off is approximately 5%.

11. The method according to claim 9 , wherein, in compensating for the ISI effects induced by the FTN signaling rate and tight frequency roll-off, the equalizing of the received signal comprises:

utilizing a priori soft information of every code bit for the carrier on which the source signal was transmitted.

12. The method according to claim 11 , wherein the a priori soft information comprises log-likelihood ratios (LLRs).

13. The method according to claim 11 , wherein the decoding of the output of the equalizing step comprises:

generating a set of a posteriori log-likelihood ratios (LLRs) based on the output of the equalizing step, wherein the a priori soft information utilized in the equalizing step comprises the a posteriori LLRs generated by the decoding of the output of the equalizing step.

14. The method according to claim 11 , wherein, in compensating for the ISI effects induced by the FTN signaling rate and tight frequency roll-off, the processing of the received signal comprises decoding the received signal via a plurality of processing iterations, and wherein:

for a one processing iteration, the decoding of the output of the equalizing step comprises generating a set of a posteriori soft information based on the output of the equalizing step; and

for a processing iteration subsequent to the one processing iteration, the a priori soft information utilized in the equalizing step comprises the a posteriori soft information generated by the decoding of the output of the equalizing step for the one processing iteration.

15. The method according to claim 11 , wherein, in compensating for the ISI effects induced by the FTN signaling rate and tight frequency roll-off, the processing of the received signal comprises decoding the received signal via a plurality of processing iterations, and wherein the method further comprises:

for a one processing iteration, generating a set of a posteriori log-likelihood ratios (LLRs) based on the output of the equalizing step, and decoding the a posteriori LLRs; and

wherein, for a processing iteration subsequent to the one processing iteration, the a priori soft information utilized in the equalizing step comprises the decoded a posteriori LLRs from the one decoding iteration.

16. The method according to claim 15 , further comprising:

deinterleaving the a posteriori LLRs before being decoded; and

interleaving the decoded a posteriori LLRs prior to being utilized in the equalizing step.

17. The method according to claim 9 , wherein the carrier signal reflects the plurality of source data symbols of the respective source signal with which it was modulated wherein the modulation was based on an 8-ary, 1+7APSK signal constellation, including an outer ring with 7 bit positions, in accordance with the following bit labeling and [x, y] bit coordinate positions:

Bit Label

[x, y] Coordinates

000

[0.0, 0.0]

001

[{square root over ((8.0 * ε x /7.0)}, 0.0]

010

[{square root over (8.0 * ε x /7.0)} * cos(4.0 * π/7.0), {square root over (8.0 * ε x /7.0)} * sin(4.0 * π/7.0)]

011

[{square root over (8.0 * ε x /7.0)} * cos(2.0 * π/7.0), {square root over (8.0 * ε x /7.0)} * sin(2.0 * π/7.0)]

100

[{square root over (8.0 * ε x /7.0)} * cos(12.0 * π/7.0), {square root over (8.0 * ε x /7.0)} * sin(12.0 * π/7.0)]

101

[{square root over (8.0 * ε x /7.0)} * cos(10.0 * π/7.0), {square root over (8.0 * ε x /7.0)} * sin(10.0 * π/7.0)]

110

[{square root over (8.0 * ε x /7.0)} * cos(6.0 * π/7.0), {square root over (8.0 * ε x /7.0)} * sin(6.0 * π/7.0)]

111

[{square root over (8.0 * ε x /7.0)} * cos(8.0 * π/7.0), {square root over (8.0 * ε x /7.0)} * sin(8.0 * π/7.0)]

where ε x represents average energy per symbol, and

wherein each of the [x, y] bit coordinate positions is rotated by a same rotation factor (from 0 to 359°, inclusive), and/or each bit label is altered by interchanging the 0's and 1's, and/or a uniform swapping of bit positions is applied within each bit label.

18. The method according to claim 9 , wherein the carrier signal reflects the plurality of source data symbols of the respective source signal with which it was modulated wherein the modulation is based on a 16-ary, 6+10APSK signal constellation, including an inner ring with 6 bit positions and an outer ring with 10 bit positions, in accordance with the following bit labeling and [x, y] bit coordinate positions:

Bit Label

[x, y] Coordinates

0000

[R1* {square root over (ε x )}, 0.0]

0001

[R1 * {square root over (ε x )} * cos(5.0 * π/3.0), R1 * {square root over (ε x )} * sin(5.0 * π/3.0)]

0010

[R1 * {square root over (ε x )} * cos(π/3.0), R1 * {square root over (ε x )} * sin(π/3.0)]

0011

[R2 * {square root over (ε x )} * cos(13.0 * π/30.0), R2 * {square root over (ε x )} * sin(13.0 * π/30.0)]

0100

[R2 * {square root over (ε x )} * cos(55.0 * π/30.0), R2 * {square root over (ε x )} * sin(55.0 * π/30.0)]

0101

[R2 * {square root over (ε x )} * cos(49.0 * π/30.0), R2 * {square root over (ε x )} * sin(49.0 * π/30.0)]

0110

[R2 * {square root over (ε x )} * cos(π/30.0), R2 * {square root over (ε x )} * sin(π/30.0)]

0111

[R2 * {square root over (ε x )} * cos(7.0 * π/30.0), R2 * {square root over (ε x )} * sin(7.0 * π/30.0)]

1000

[−R1* {square root over (ε x )}, 0.0]

1001

[R1 * {square root over (ε x )} * cos(4.0 * π/3.0), R1 * {square root over (ε x )} * sin(4.0 * π/3.0)]

1010

[R1 * {square root over (ε x )} * cos(2.0 * π/3.0), R1 * {square root over (ε x )} * sin(2.0 * π/3.0)]

1011

[R2 * {square root over (ε x )} * cos(19.0 * π/30.0), R2 * {square root over (ε x )} * sin(19.0 * π/30.0)]

1100

[R2 * {square root over (ε x )} * cos(37.0 * π/30.0), R2 * {square root over (ε x )} * sin(37.0 * π/30.0)]

1101

[R2 * {square root over (ε x )} * cos(43.0 * π/30.0), R2 * {square root over (ε x )} * sin(43.0 * π/30.0)]

1110

[R2 * {square root over (ε x )} * cos(31.0 * π/30.0), R2 * {square root over (ε x )} * sin(31.0 * π/30.0)]

1111

[R2 * {square root over (ε x )} * cos(25.0 * π/30.0), R2 * {square root over (ε x )} * sin(25.0 * π/30.0)]

where ε x represents average energy per symbol, 6*R1 2 +10*R2 2 =16, and R1 represents the radius of the inner ring and R2 represents the radius of the outer ring, and

wherein each of the [x, y] bit coordinate positions is rotated by a same rotation factor (from 0 to 359°, inclusive), and/or each bit label is altered by interchanging the 0's and 1's, and/or a uniform swapping of bit positions is applied within each bit label.

19. The method according to claim 9 , wherein the carrier signal reflects the plurality of source data symbols of the respective source signal with which it was modulated wherein the modulation is based on a 32-ary, 4+12+16APSK signal constellation, including an inner ring with 4 bit positions, a middle ring with 12 bit positions and an outer ring with 16 bit positions, in accordance with the following bit labeling and [x, y] bit coordinate positions:

Bit Label

[x, y] Coordinates

00000

[−R3 * {square root over (ε x )} * cos(5.0 * π/16.0), R3 * {square root over (ε x )} * cos(3.0 * π/16.0)]

00001

[−R3 * {square root over (ε x )} * cos(7.0 * π/16.0), R3 * {square root over (ε x )} * cos(π/16.0)]

00010

[R3 * {square root over (ε x )} * cos(5.0 * π/16.0), R3 * {square root over (ε x )} * cos(3.0 * π/16.0)]

00011

[R3 * {square root over (ε x )} * cos(7.0 * π/16.0), R3 * {square root over (ε x )} * cos(π/16.0)]

00100

[−R2 * {square root over (ε x )} * sin(π/4.0), R2 * {square root over (ε x )} * sin(π/4.0)]

00101

[−R2 * {square root over (ε x )} * sin(π/12.0), R2 * {square root over (ε x )} * sin(5.0 * π/12.0)]

00110

[R2 * {square root over (ε x )} * sin(π/4.0), R2 * {square root over (ε x )} * sin(π/4.0)]

00111

[R2 * {square root over (ε x )} * sin(π/12.0), R2 * {square root over (ε x )} * sin(5.0 * π/12.0)]

01000

[−R3 * {square root over (ε x )} * cos(3.0 * π/16.0), R3 * {square root over (ε x )} * cos(5.0 * π/16.0)]

01001

[−R3 * {square root over (ε x )} * cos(π/16.0), R3 * {square root over (ε x )} * cos(7.0 * π/16.0)]

01010

[R3 * {square root over (ε x )} * cos(3.0 * π/16.0), R3 * {square root over (ε x )} * cos(5.0 * π/16.0)]

01011

[R3 * {square root over (ε x )} * cos(π/16.0), R3 * {square root over (ε x )} * cos(7.0 * π/16.0)]

01100

[−R2 * {square root over (ε x )} * sin(5.0 * π/12.0), R2 * {square root over (ε x )} * sin(π/12.0)]

01101

[−R1 * {square root over (ε x )} * sin(π/4.0), R1 * {square root over (ε x )} * sin(π/4.0)]

01110

[R2 * {square root over (ε x )} * sin(5.0 * π/12.0), R2 * {square root over (ε x )} * sin(π/12.0)]

01111

[R1 * {square root over (ε x )} * sin(π/4.0), R1 * {square root over (ε x )} * sin(π/4.0)]

10000

[−R3 * {square root over (ε x )} * cos(5.0 * π/16.0), −R3 * {square root over (ε x )} * cos(3.0 * π/16.0)]

10001

[−R3 * {square root over (ε x )} * cos(7.0 * π/16.0), −R3 * {square root over (ε x )} * cos(π/16.0)]

10010

[R3 * {square root over (ε x )} * cos(5.0 * π/16.0), −R3 * {square root over (ε x )} * cos(3.0 * π/16.0)]

10011

[R3 * {square root over (ε x )} * cos(7.0 * π/16.0), −R3 * {square root over (ε x )} * cos(π/16.0)]

10100

[−R2 * {square root over (ε x )} * sin(π/4.0), −R2 * {square root over (ε x )} * sin(π/4.0)]

10101

[−R2 * {square root over (ε x )} * sin(π/12.0), −R2 * {square root over (ε x )} * sin(5.0 * π/12.0)]

10110

[R2 * {square root over (ε x )} * sin(π/4.0), −R2 * {square root over (ε x )} * sin(π/4.0)]

10111

[R2 * {square root over (ε x )} * sin(π/12.0), −R2 * {square root over (ε x )} * sin(5.0 * π/12.0)]

11000

[−R3 * {square root over (ε x )} * cos(3.0 * π/16.0), −R3 * {square root over (ε x )} * cos(5.0 * π/16.0)]

11001

[−R3 * {square root over (ε x )} * cos(π/16.0), −R3 * {square root over (ε x )} * cos(7.0 * π/16.0)]

11010

[R3 * {square root over (ε x )} * cos(3.0 * π/16.0), −R3 * {square root over (ε x )} * cos(5.0 * π/16.0)]

11011

[R3 * {square root over (ε x )} * cos(π/16.0), −R3 * {square root over (ε x )} * cos(7.0 * π/16.0)]

11100

[−R2 * {square root over (ε x )} * sin(5.0 * π/12.0), −R2 * {square root over (ε x )} * sin(π/12.0)]

11101

[−R1 * {square root over (ε x )} * sin(π/4.0), −R1 * {square root over (ε x )} * sin(π/4.0)]

11110

[R2 * {square root over (ε x )} * sin(5.0 * π/12.0), −R2 * {square root over (ε x )} * sin(π/12.0)]

11111

[R1 * {square root over (ε x )} * sin(π/4.0), −R1 * {square root over (ε x )} * sin(π/4.0)]

where ε x represents average energy per symbol, 4*R1 2 +12*R2 2 +16*R3 2 =32, and R1 represents the radius of the inner ring, R2 represents the radius of the middle ring and R3 represents the radius of the outer ring, and

wherein each of the [x, y] bit coordinate positions is rotated by a same rotation factor (from 0 to 359°, inclusive), and/or each bit label is altered by interchanging the 0's and 1's, and/or a uniform swapping of bit positions is applied within each bit label.

Assignments (6)
CORRECTIVE ASSIGNMENT TO CORRECT THE REMOVE APPLICATION NUMBER 15649418 PREVIOUSLY RECORDED ON REEL 050600 FRAME 0314. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT OF PATENT SECURITY AGREEMENTS. Recorded Sep 3, 2020
From: WELLS FARGO, NATIONAL BANK ASSOCIATION
To: U.S. BANK NATIONAL ASSOCIATION
Reel/Frame 053703/0367 →
CORRECTIVE ASSIGNMENT TO CORRECT THE REMOVE APPLICATION NUMBER 15649418 PREVIOUSLY RECORDED AT REEL: 044376 FRAME: 0139. ASSIGNOR(S) HEREBY CONFIRMS THE SECURITY AGREEMENT. Recorded Sep 3, 2020
From: HUGHES NETWORK SYSTEMS, LLC
To: WELLS FARGO BANK, NATIONAL ASSOCIATION - AS COLLATERAL AGENT
Reel/Frame 053723/0726 →
ASSIGNMENT OF PATENT SECURITY AGREEMENTS Recorded Oct 1, 2019
From: WELLS FARGO BANK, NATIONAL ASSOCIATION
To: U.S. BANK NATIONAL ASSOCIATION
Reel/Frame 050600/0314 →
SECURITY INTEREST Recorded Nov 6, 2017
From: HUGHES NETWORK SYSTEMS, LLC
To: WELLS FARGO BANK, NATIONAL ASSOCIATION - AS COLLATERAL AGENT
Reel/Frame 044376/0139 →
SECURITY INTEREST Recorded Jul 27, 2016
From: HUGHES NETWORK SYSTEMS, LLC
To: WELLS FARGO BANK, NATIONAL ASSOCIATION - AS COLLATERAL AGENT
Reel/Frame 039266/0042 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 20, 2016
From: BEIDAS, BASSEL; SESHADRI, ROHIT IYER; EROZ, MUSTAFA; LEE, LIN-NAN
To: HUGHES NETWORK SYSTEMS, LLC
Reel/Frame 038330/0901 →