SM系統(tǒng)中改進(jìn)的低復(fù)雜度檢測(cè)算法

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中圖分類號(hào)：TN911.7-34 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：1004-373X（2025）17-0016-05

引用格式：，，，.SM系統(tǒng)中改進(jìn)的低復(fù)雜度檢測(cè)算法[J].現(xiàn)代電子技術(shù)，2025，48（17）：16-20.

Abstract：Inthespatial modulation （SM） technology，themaximumlikelihood（ML）algorithmoffers theoptimal demodulationperformancebyexhaustivelysearchingallposibletransmissioncombinations.However，itshighcomputational complexityrendersitimpracticalforlarge-scaleSMsystems.Toaddessthisproblem，aQC-MLdetectionalgorithmisproposed toreducecomputationalcomplexitywhilensuringdetectionperformane.FistlytheQC-MLalgorithmpreprocessstheceied signalandemploysacircular boundaryquantization method toreducethesearch spaceof modulationconstelltionsymbols associatedwitheachpotentialtransmitingantenna.Then，thesetofresultswiththesmalestMLvalueisselectedforoutput. Sincethemainideaofquantificationis tocomparemagnitudes，noaditionalcomputationalcomplexitywillbeintroducedinthis processSimulationresultsshowthatthedetectionperformanceoftheproposedQC-MLalgorithmcloselyapproximatesthatof the originalone，hileitscomputationalcomplexityiseducdsignificantly.Theeffectivenessofteproposedalgorithisverified.

Keywords：spatial modulation;signal detection;ML;computational complexity;quantification;detectionperformance

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