IP Library Granted Patent US 8,578,235
Granted Patent B2
US 8,578,235 · App. 13/677,514 · Granted Nov 5, 2013

Method, apparatus and computer program product providing soft iterative recursive least squares (RLS) channel estimator

View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 8,578,235
App. No.
13/677,514
Granted
Nov 5, 2013
Kind
B2
Abstract

Disclosed is an apparatus having a detector for an iterative LDPC-coded MIMO-OFDM system, where the detector is configured to use a structured irregular LDPC code in conjunction with a belief propagation algorithm. Also disclosed is an apparatus having a detector for a structured irregular LDPC-coded MIMO-OFDM system, where the detector is configured to use an iterative Recursive Least Squares-based data detection and channel estimation technique. Corresponding methods and computer program products are also disclosed.

Claims (23)

1. A method, comprising:

generating, at a detector, a current APP (a posteriori probability) for a received signal based at least in part on a prior APP and a soft channel estimate, the soft channel estimate calculated based on an iterative RLS (recursive least squares) algorithm that approximates an unknown covariance by incorporating a previous channel estimate and the prior APP; and

determining an extrinsic output for the received signal at a channel decoder based on the current APP to generate soft bit information.

2. The method of claim 1 , wherein determining the extrinsic output comprises:

decoding the current APP using a belief propagation algorithm.

3. The method of claim 2 , wherein the belief propagation system is a layered belief propagation system.

4. The method of claim 1 , wherein the iterative RLS algorithm is suitable for use over a quasi-static channel.

5. The method of claim 1 , further comprising detecting the received signal for one of a structured irregular low-density parity-check (LDPC) code multiple-input-multiple-output (MIMO) orthogonal frequency division multiplex (OFDM) system and an iterative LDPC-coded MIMO-OFDM system.

6. An apparatus, comprising:

a detector configured to generate a current APP (a posteriori probability) for a received signal based at least in part on a prior APP and a soft channel estimate;

a channel estimator configured to calculate the soft channel estimate based on an iterative RLS (recursive least squares) algorithm that approximates an unknown covariance by incorporating a previous channel estimate and the prior APP; and

a channel decoder configured to determine an extrinsic output for the received signal based on the current APP to generate soft bit information.

7. The apparatus of claim 6 , wherein the channel decoder is further configured to decode the current APP using a belief propagation algorithm.

8. The apparatus of claim 7 , wherein the belief propagation system is a layered belief propagation system.

9. The apparatus of claim 6 , wherein the iterative RLS algorithm is suitable for use over a quasi-static channel.

10. The apparatus of claim 6 , wherein the soft data detector is further configured to detect the received signal for one of a structured irregular low-density parity-check (LDPC) code multiple-input-multiple-output (MIMO) orthogonal frequency division multiplex (OFDM) system and an iterative LDPC-coded MIMO-OFDM system.

11. A computer program product comprising instructions embodied in a non-transitory computer readable medium, the instructions, when executed by one or more processors, causing a receiver to:

generate a current APP (a posteriori probability) for a received signal based at least in part on a prior APP and a soft channel estimate, the soft channel estimate calculated based on an iterative RLS (recursive least squares) algorithm that approximates an unknown covariance by incorporating a previous channel estimate and the prior APP; and

determine an extrinsic output for the received signal based on the current APP to generate soft bit information.

12. The computer program product of claim 11 , further comprising instructions, when executed by the one or more processors, causing the receiver to decode the current APP using a belief propagation algorithm.

13. The computer program product of claim 12 , wherein the belief propagation system is a layered belief propagation system.

14. The computer program product of claim 11 , wherein the iterative RLS algorithm is suitable for use over a quasi-static channel.

15. The computer program product of claim 11 , further comprising instructions, when executed by the one or more processors, causing the receiver to detect the received signal for one of a structured irregular low-density parity-check (LDPC) code multiple-input-multiple-output (MIMO) orthogonal frequency division multiplex (OFDM) system and an iterative LDPC-coded MIMO-OFDM system.

Assignments (3)
RELEASE OF SECURITY INTEREST Recorded Apr 13, 2021
From: CPPIB CREDIT INVESTMENTS INC.
To: CONVERSANT WIRELESS LICENSING S.A R.L.
Reel/Frame 055910/0584 →
AMENDED AND RESTATED U.S. PATENT SECURITY AGREEMENT (FOR NON-U.S. GRANTORS) Recorded Aug 22, 2018
From: CONVERSANT WIRELESS LICENSING S.A R.L.
To: CPPIB CREDIT INVESTMENTS, INC.
Reel/Frame 046897/0001 →
CHANGE OF NAME Recorded Oct 20, 2017
From: CORE WIRELESS LICENSING S.A.R.L.
To: CONVERSANT WIRELESS LICENSING S.A R.L.
Reel/Frame 044242/0401 →