IP Library › Granted Patent US 9,001,641
Granted Patent B2
US 9,001,641 · App. 13/280,959 · Granted Apr 7, 2015

Sounding reference signal processing for LTE

Inventors: Pierre Bertrand (Antibes, FR); Anthony Ekpenyong (Farmers Branch, TX)
Assignee: Texas Instruments Incorporated
H04J13/0062H04J13/0003H04L25/022H04L25/0226H04L25/0228
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Quick Facts
Patent No.
US 9,001,641
App. No.
13/280,959
Granted
Apr 7, 2015
Kind
B2
Abstract

A wireless communication receiver including a serial to parallel converter receiving an radio frequency signal, a fast Fourier transform device connected to said serial to parallel converter converting N FFT corresponding serial signals into a frequency domain; an EZC root sequence unit generating a set of root sequence signals; an element-by-element multiply unit forming a set of products including a product of each of said frequency domain signals from said fast Fourier transform device and a corresponding root sequence signal, an N SRS -length IDFT unit performing a group cyclic-shift de-multiplexing of the products and a discrete Fourier transform unit converting connected cyclic shift de-multiplexing signals back to frequency-domain.

Claims (250)

1. A wireless communication receiver comprising;

a serial-to-parallel converter receiving a time sample sequence and generating parallel signals;

a fast Fourier transform (FFT device connected to said serial-to-parallel converter and converting said signals from a time domain into a frequency domain;

an Extended Zadoff-Chu (EZC) root sequence unit generating a set of root sequence signals;

an element-by-element multiply unit connected to said FFT device and said EZC root sequence unit, said element-by-element multiply unit forming a set of products Y including a product of each of said frequency domain signals from said FFT device and a complex conjugate of one of said corresponding root sequence signals X;

an Inverse Discrete Fourier Transform (IDFT) unit connected to said element-by-element multiply unit performing a group cyclic-shift de-multiplexing of said products to compute an impulse response for each multiplexed channel; and

a discrete Fourier transform unit connected to said IDFT unit to convert said impulse responses back to frequency domain.

2. A wireless communication receiver comprising;

a serial-to-parallel converter receiving a time sample sequence and generating parallel signals;

a fast Fourier transform (FFT) device connected to said serial-to-parallel converter and converting said signals from a time domain into a frequency domain;

an Extended Zadoff-Chu (EZC) root sequence unit generating a set of root sequence signals;

an element-by-element multiply unit connected to said FFT device and said EZC root sequence unit, said element-by-element multiply unit forming a set of products Y including a product of each of said frequency domain signals from said FFT device and a complex conjugate of one of said corresponding root sequence signals X;

an Inverse Discrete Fourier Transform (IDFT) unit connected to said element-by-element multiply unit performing a group cyclic-shift de-multiplexing of said products to compute an impulse response for each multiplexed channel, wherein said group cyclic shift de-multiplexing performed by said discrete Fourier transform unit includes:

Y=F N SRS N FFT( r )

y=F N SRS −1 diag( X*Y T )

where: Y is the frequency domain product of an element-wise multiplication, r is the received time sample sequence, y is the time domain product of an element-wise multiplication, F N SRS N FFT is a N SRS by N FFT matrix corresponding to N FFT -point FFT and N SRS sub-carriers de-mapping, X is the expected root sequence; and F N SRS is a N N SRS by N SRS matrix, thereby producing for each Sounding Reference Signal (SRS) comb a concatenated Channel Impulse Response (CIR) sequence y of all received wireless users multiplexed on a same root sequence; and

a discrete Fourier transform unit connected to said IDFT unit to convert said impulse responses back to frequency domain.

3. A wireless communication receiver comprising:

a serial-to-parallel converter receiving a time sample sequence and generating parallel signals;

a fast Fourier transform (FFT) device connected to said serial-to-parallel converter and converting said signals from a time domain into a frequency domain;

an Extended Zadoff-Chi (EZC) root sequence unit generating a set of root sequence signals;

an element-by-element multiply unit connected to said FFT device and said EZC root sequence unit, said element-by-element multiply unit forming a set of products Y including a product of each of said frequency domain signals from said FFT device and a complex conjugate of one said corresponding root sequence signals X;

an Inverse Discrete Fourier Transform (IDFT) unit connected to said element-by-element multiply unit performing a group cyclic-shift de-multiplexing of said products to compute an impulse response for each multiplexed channel, wherein said group cyclic shift de-multiplexing performed by said discrete Fourier transform unit includes:

y u =(0, . . . , 0, y n 1 (u) , y n 2 (u) , . . . , y n L (u) , 0, . . . , 0) T

Ĥ=F N SRS y N

where: y is the time domain product of an element-wise multiplication, F N SRS is a N SRS by N SRS matrix corresponding to N SRS -point DFT; and n 1 (U), . . . , n L (U) are the samples defining the cyclic shift window of user u, involving zeroing-out the remaining samples outside the cyclic shift window of user u and Ĥ N is the channel estimate across frequency chunk c produced by the last stage N SRS -length DFT-based frequency interpolation; and

a discrete Fourier transform unit connected to said IDFT unit to convert said impulse responses back to frequency domain.

4. The wireless communication receiver of claim 1 , wherein:

said group cyclic shift de-multiplexing performed by said discrete Fourier transform unit includes performing Channel Impulse Response extraction and cyclic shift de-multiplexing simultaneously by selecting the appropriate user's cyclic shift window.

5. The wireless communication receiver of claim 4 , wherein:

selecting a cyclic shift window includes shrinking a SRS bandwidth by 10% to minimize the interpolation errors.

6. A wireless communication receiver comprising;

a serial-to-parallel converter receiving a time sample sequence and generating parallel signals;

a fast Fourier transform (FFT) device connected to said serial-to-parallel converter and converting said signals from a time domain into a frequency domain;

an Extended Zadoff-Chu (EZC) root sequence unit generating a set of root sequence signals;

an element-by-element multiply unit connected to said FFT device and said EZC root sequence unit, said element-by-element multiply unit forming a set of products Y including a product of each of said frequency domain signals from said FFT device and a complex conjugate of one of said corresponding root sequence signals X:

an Inverse Discrete Fourier Transform (IDFT) unit connected to said element-by-element multiply unit performing a grog cyclic-shift de-multiplexing of said products to compute an impulse response for each multiplexed channel,

a non-biased per-antenna per-sub-carrier channel gain estimator performing

Ĝ 0 ( a )=| Ĥ ( a )| 2−{circumflex over (σ)} N 2

where: Ĝ 0 ( a )is the channel gain estimate per sub-carrier per antenna, Ĥ( a ) is the channel estimate {circumflex over (σ)} N 2 an estimate of the noise variance σ N 2 =a 2 σ H 2 , involving estimating and removing the noise variance; and

a discrete Fourier transform unit connected to said IDFT unit to convert said impulse responses back to frequency domain.

7. A wireless communication receiver comprising:

a serial-to-parallel converter receiving a time sample sequence and generating parallel signals;

a fast Fourier transform (FFT) device connected to said serial-to-parallel converter and converting said signals from a time domain into a frequency domain;

an Extended Zadoff-Chu (EZC) root sequence unit generating a set of root sequence signals;

an element multiply unit connected to said FFT device and said EZC root sequence unit, said element-by-element multiply unit forming a set of products Y including a product of each of said frequency domain signals from said FFT device and a complex conjugate of one of said corresponding root sequence signals X;

an Inverse Discrete Fourier Transform (IDFT) unit connected to said element-by-element multiply unit performing a group cyclic-shift de-multiplexing of said products to compute an impulse response for each multiplexed channel,

a non-biased per-antenna per-sub-carrier channel gain estimator performing

Ĝ 0 ( a )=| Ĥ ( a )| 2−{circumflex over (σ)} N 2

where: Ĝ 0 ( a ) is the channel gain estimate per sub-carrier per antenna, Ĥ( a )is the channel estimate, {circumflex over (σ)} N 2 is an estimate of the noise variance σ N 2 =a 2 σ H 2 , involving estimating and removing the noise variance, and

wherein said gain estimator includes a negative gain avoidance by applying a simple clipping threshold of 0.01 according to

Ĝ Clip ( a )=max{| Ĥ ( a )| 2 −{circumflex over (σ)} N 2 ; G floor }

where: Ĝ Clip ( a ) is the channel gain estimate per sub-carrier per antenna, Ĥ( a ) is the channel estimate, {circumflex over (σ)} N 2 is an estimate of the noise variance σ N 2 =a 2 σ H 2 and G floor is the clipping threshold; and

a discrete Fourier transform unit connected to said IDFT unit to convert said impulse responses back to frequency domain.

8. The wireless communication receiver of claim 1 , further comprising:

a per-antenna time domain noise variance estimator reserving a cyclic shift per SRS comb and averaging the squared noise samples across a noise window selected from the samples outside the cyclic shift windows of one or more users.

9. The wireless communication receiver of claim 8 , wherein:

said per-antenna time domain noise variance estimator maximizes the number of noise samples while not including samples carrying adjacent users' energy in spill-over regions.

10. The wireless communication receiver of claim 8 , wherein:

said per-antenna time domain noise variance estimator maximizes a UE-geometry-based selective cyclic shift window reduction as:

NOISE REDUCTION

LMS

CYCLIC SHIFT

TECHNIQUE

FILTERING

WINDOW SHRINK

Channel Model

TU

PA

TU

PA

Channel estimation MSE

3

dB

3

dB

6

dB

6

dB

Channel gain mean error

2

dB

1.2

dB

2.1

dB

2.5

dB

Channel gain standard

1

dB

0.5

dB

1

dB

1.2

dB.

deviation

11. The wireless communication receiver of claim 1 , further comprising:

a per-chunk signal to noise ratio (SNR) estimator from the achieved per-antenna per-subcarrier channel gain estimates based on selectively using a selected one of low-complexity arithmetic averaging or harmonic averaging depending on both a channel type and a user's received SNR.

12. A wireless communication Sounding Reference Signal (SRS) receiver comprising:

a serial to parallel converter receiving a radio frequency signal and generating N FFT corresponding parallel signals;

a fast Fourier transform device connected to said serial to parallel converter receiving said N FFT corresponding parallel signals and converting said N FFT corresponding serial signals from a time domain into a frequency domain;

a EZC root sequence unit generating a set of root sequence signals;

an element-by-element multiply unit connected to said fast Fourier transform device and said EZC root sequence unit, said element-by-element multiply unit forming a set of products including a product of each of said frequency domain signals from said fast Fourier transform device and a corresponding root sequence signal;

an N SRS -length IDFF unit connected to said element-by-element multiply unit performing a group cyclic-shift de-multiplexing of said products employing a sounding reference symbol Orthogonal Frequency Division Multiplexing Orthogonal Frequency Division Multiple Access symbol structure and a Constant Amplitude Zero Auto-Correlation sequence to compute an impulse response for each multiplexed channel through a frequency-domain computed periodic correlation; and

a discrete Fourier transform unit connected to said IDFT unit and receiving cyclic shift de-multiplexing signals to convert them back to frequency-domain

a timing offset estimator combining the amplitude delay profiles across antennas from the concatenated delay profiles sequence y and searching for the highest peak in the user's timing offset window according to:

{

i

^

u

=

arg

⁢

⁢

max

i

⁢

{

p

i

}

;

i

∈

I

τ

,

u

;

p

i

=

∑

a

=

1

A

⁢

⁢

y

i

,

a

2

τ

^

u

=

(

i

^

u

-

C

u

)

⁢

T

S

where: A is the number of antenna; C u is the cyclic shift of user u; T S is the sampling period of sequence y; and I τ,u is the timing offset window of user u, defined as:

{

I

τ

,

u

=

{

-

N

early

,

…

⁢

,

-

1

,

0

,

1

,

…

⁢

,

N

late

}

N

early

=

⌈

max

⁡

(

0.5

⁢

⁢

µs

,

τ

max

)

/

T

S

⌉

N

late

=

⌈

[

W

M

+

max

⁡

(

0.5

⁢

⁢

µs

,

τ

max

)

]

/

T

S

⌉

W

M

=

min

⁡

(

1

⁢

⁢

µs

,

τ

)

where: I τ,u (N early +1)=0 coincides with the first sample of the cyclic shift window of user U; ±τ max is the maximum expected timing error; W M is the main energy region within the user delay spread; and τis the delay spread of the user; and

a discrete Fourier transform unit connected to said IDFT unit to convert said products back to frequency-domain.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 20, 2012
From: BERTRAND, PIERRE; EKPENYONG, ANTHONY
To: TEXAS INSTRUMENTS INCORPORATED
Reel/Frame 028095/0843 →
Continuity (3)
Provisional Application 61406233 · Oct 25, 2010
Provisional Application 61437744 · Jan 31, 2011
Related Publication 20120182857A1 · Jul 19, 2012