Method, apparatus and computer program product providing soft iterative recursive least squares (RLS) channel estimator
View Patent ↗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.
1. A method, comprising:
detecting a 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; and
iteratively determining an extrinsic output for the received signal at a channel decoder based on a current a posteriori probability (APP), such that each iteration comprises:
determining the current APP at a soft data detector based at least in part on a prior extrinsic output from the channel decoder and a soft channel estimate from an iterative Recursive Least Squares-based channel estimator, the prior extrinsic output and the soft channel estimate each determined based on a prior APP.
2. The method of claim 1 , where the iterative Recursive Least Squares-based channel estimator is suitable for use over a quasi static channel.
3. The method of claim 1 , wherein determining the extrinsic output comprises decoding the current APP using a belief propagation algorithm in order to generate soft bit information.
4. The method of claim 3 , wherein the belief propagation algorithm is a layered belief propagation algorithm.
5. An apparatus, comprising:
a soft data detector configured to detect a received signal for at least one of a structured irregular low-density parity-check (LDPC) coded multiple-input-multiple-output (MIMO) orthogonal frequency division multiplex (OFDM) system and an iterative LDPC-coded MIMO-OFDM system;
an iterative Recursive Least Squares-based channel estimator configured to determine a soft channel estimate; and
a channel decoder configured to iteratively determine an extrinsic output for the received signal based on a current a posteriori probability (APP),
whererin for each iteration, the current APP is determined at the soft data detector based at least in part on a prior extrinsic output from the channel decoder and a soft channel estimate from the iterative Recursive Least Squares-based channel estimator, the prior extrinsic output and the soft channel estimate each determined based on a prior APP.
6. The apparatus of claim 5 , where the iterative Recursive Least Squares-based channel estimator is suitable for use over a quasi static channel.
7. The apparatus of claim 5 , embodied at least in part in an integrated circuit.
8. The apparatus of claim 5 , wherein the channel decoder is configured to determine the extrinsic output by decoding the current APP using a belief propagation algorithm in order to generate soft bit information.
9. The apparatus of claim 8 , wherein the belief propagation algorithm is a layered belief propagation algorithm.
10. A computer program product comprising instructions embodied in a tangible data storage medium, execution of the instructions by a data processor resulting in an operation of:
detecting a received signal for one of a structured irregular low-density parity-check (LDPC) coded multiple-input-multiple-output (MIMO) orthogonal frequency division multiplex (OFDM) system and an iterative LDPC-coded MIMO-OFDM system; and
iteratively determining an extrinsic output for the received signal at a channel decoder based on a current a posteriori probability (APP), such that each iteration comprises:
determining the current APP at a soft data detector based at least in part on a prior extrinsic output from the channel decoder and a soft channel estimate from an iterative Recursive Least Squares-based channel estimator, the prior extrinsic output and the soft channel estimate each determined based on a prior APP.
11. The computer program product of claim 10 , where the iterative Recursive Least Squares-based channel estimator is suitable for use over a quasi static channel.
12. The computer program product of claim 10 , wherein determining the extrinsic output comprises decoding the current APP using a belief propagation algorithm in order to generate soft bit information.
13. The computer program product of claim 12 , wherein the belief propagation algorithm is a layered belief propagation algorithm.