IP Library Granted Patent US 8,107,518
Granted Patent B2
US 8,107,518 · App. 12/185,733 · Granted Jan 31, 2012

Stream weight estimation and compensation in SIMO/MIMO OFDM receivers

Assignee: Redpine Signals, Inc,
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Quick Facts
Patent No.
US 8,107,518
App. No.
12/185,733
Granted
Jan 31, 2012
Kind
B2
Abstract

A process for equalizing streams of OFDM subcarrier data computes the noise variance for each stream, and forms a stream weighting coefficient by equalizing the noise variance, such that for a first stream having a noise variance σ 1 and a second stream having a noise variance of σ 2 , the first stream is scaled by k 1 = 2 ⁢ σ 2 σ 1 2 + σ 2 2 and the second stream is scaled by k 2 = 2 ⁢ σ 1 σ 1 2 + σ 2 2 .

Claims (356)

1. A noise equalizer for a plurality n of data streams, each stream j of said n streams coupled to a receive antenna and baseband converted, each said stream j accompanied by a channel characterization matrix and a noise measurement σ j , each said j data stream and each said j channel characterization matrix scaled by a value

s

j

=

n

(

σ

1

*

*

σ

n

)

/

σ

j

k

=

1

n

(

σ

1

2

*

*

σ

n

2

)

/

σ

k

2

.

2. The noise equalizer of claim 1 where said data stream is from an FFT output.

3. The noise equalizer of claim 1 where said data stream contains OFDM data modulated into subcarriers.

4. The noise equalizer of claim 1 where said data stream contains OFDM data modulated by subcarriers, and each said subcarrier is scaled by said S j value.

5. The noise equalizer of claim 1 where said data stream contains a plurality m of spatial streams of data, said plurality being equal to or less than said n.

6. The noise equalizer of claim 1 where said n is two, and said first data stream and said first channel characterization matrix is scaled by

s

1

=

2

σ

2

σ

1

2

+

σ

2

2

and said second data stream and said second channel characterization matrix is scaled by

s

2

=

2

σ

1

σ

1

2

+

σ

2

2

.

7. The noise equalizer of claim 1 where said n is three, and said first data stream and said first channel characterization matrix is scaled by s 1 , said second data stream and said second channel characterization matrix is scaled by s 2 , and said third data stream and said third channel characterization matrix is scaled by s 3 , where:

s

1

=

3

σ

2

σ

3

σ

1

2

σ

2

2

+

σ

2

2

σ

3

2

+

σ

3

2

σ

1

2

s

2

=

3

σ

3

σ

1

σ

1

2

σ

2

2

+

σ

2

2

σ

3

2

+

σ

3

2

σ

1

2

s

3

=

3

σ

1

σ

2

σ

1

2

σ

2

2

+

σ

2

2

σ

3

2

+

σ

3

2

σ

1

2

.

8. A noise equalizer for a plurality n of data streams, each stream j of said n streams coupled to a receive antenna, baseband converted, and transformed into a subcarrier frequency, each said stream j accompanied by a channel characterization matrix and a noise measurement σ j , whereby for a particular data stream and associated channel characterization matrix, if said particular data stream is associated with a larger σ j than a different data stream with a comparatively smaller σ j , said particular data stream is multiplied by a scaling factor which is smaller than the scaling factor for said different data stream.

9. The noise equalizer of claim 8 where said scaling factor for a channel j is

s

j

=

n

(

σ

1

*

*

σ

n

)

/

σ

j

k

=

1

n

(

σ

1

2

*

*

σ

n

2

)

/

σ

k

2

.

10. The noise equalizer of claim 8 where said data stream is from an FFT output.

11. The noise equalizer of claim 8 where said data stream contains OFDM data modulated into subcarriers.

12. The noise equalizer of claim 8 where said data stream contains OFDM data modulated by subcarriers, and each said subcarrier is scaled by said S j value.

13. The noise equalizer of claim 8 where said data stream contains a plurality m of spatial streams of data, said plurality being equal to or less than said n.

14. The noise equalizer of claim 8 where said n is two, and said first data stream and said first channel characterization matrix is scaled by

s

1

=

2

σ

2

σ

1

2

+

σ

2

2

and said second data stream and said second channel characterization matrix is scaled by

s

2

=

2

σ

1

σ

1

2

+

σ

2

2

.

15. The noise equalizer of claim 8 where said n is three, and said first data stream and said first channel characterization matrix is scaled by s 1 , said second data stream and said second channel characterization matrix is scaled by s 2 , and said third data stream and said third channel characterization matrix is scaled by s 3 , where:

s

1

=

3

σ

2

σ

3

σ

1

2

σ

2

2

+

σ

2

2

σ

3

2

+

σ

3

2

σ

1

2

s

2

=

3

σ

3

σ

1

σ

1

2

σ

2

2

+

σ

2

2

σ

3

2

+

σ

3

2

σ

1

2

s

3

=

3

σ

1

σ

2

σ

1

2

σ

2

2

+

σ

2

2

σ

3

2

+

σ

3

2

σ

1

2

.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 4, 2020
From: REDPINE SIGNALS, INC.
To: SILICON LABORATORIES INC.
Reel/Frame 052560/0299 →
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE'S NAME INSIDE THE ASSIGNMENT DOCUMENT PREVIOUSLY RECORDED AT REEL: 021762 FRAME: 0142. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT . Recorded Dec 13, 2018
From: VIJAYAN, LOGESHWARAN; VANKA, SUNDARAM; MURALI, PARTHA SARATHY; GANGALAKURTI, PHANIMITHRA
To: REDPINE SIGNALS, INC.
Reel/Frame 047873/0227 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 30, 2008
From: VIJAYAN, LOGESHWARAN; VANKA, SUNDARAM; MURALI, PARTHA SARATHY; GANGALAKURTI, PHANIMITHRA
To: REDPINE SIGNALS, INC.
Reel/Frame 021762/0142 →
Continuity (1)
Related Publication 20100027693A1 · Feb 4, 2010