http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109861764-B
Outgoing Links
Predicate | Object |
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classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L25-03 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L25-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04B13-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L1-00 |
filingDate | 2019-03-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2022-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2022-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-109861764-B |
titleOfInvention | Compressed sensing channel estimation method for underwater sound OFDM iterative receiver |
abstract | A compressed sensing channel estimation method for an underwater sound OFDM iterative receiver relates to the field of underwater sound communication. Performing channel estimation; carrying out channel equalization; carrying out interweaving; SISO decoding is performed. An improved SAMP algorithm, namely an MSAMP algorithm, is provided. The MSAMP algorithm can eliminate the time domain leakage problem of discrete impulse response, inherits the advantages of the SAMP algorithm, does not need sparsity prior information, and can perform accurate channel estimation only by setting step length and time domain expansion parameters. The MSAMP algorithm has sparsity self-adaption capability, and can continuously approach to sparsity of an actual channel by increasing I in stages under the condition that sparsity is unknown, so that accurate channel estimation is obtained. The biggest innovation point is that the algorithm overcomes the influence of discrete impulse response time domain leakage, so that the result is more accurate. |
priorityDate | 2019-03-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 16.