http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109617850-A

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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L27-2695
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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L27-26
filingDate 2019-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ea63ca7492120203246060ada7f9d30e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_04b3f2897c8d13d92117daad46ab0c1d
publicationDate 2019-04-12-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-109617850-A
titleOfInvention OFDM sparse channel estimation method based on adaptive compressed sensing
abstract The invention discloses an OFDM sparse channel estimation method based on adaptive compressed sensing, comprising the following steps: step (1): modeling the OFDM channel estimation problem as a compressed sensing signal reconstruction problem; step (2): utilizing adaptive compressed sensing channel The estimation algorithm solves the compressive sensing signal reconstruction problem and estimates the OFDM sparse channel. The advantages of the present invention are: the OFDM sparse channel can be quickly estimated when the channel sparsity of the OFDM system is unknown, the OFDM sparse channel estimation method based on the algorithm of the present invention and the OFDM sparse channel estimation based on the existing sparsity adaptive algorithm Compared with the method, it has lower channel estimation mean square error, lower system bit error rate and shorter estimation time.
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priorityDate 2019-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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Total number of triples: 46.