The differences on resolution capability and the performance of estimation between beam - space processing and element - space processing are analyzed . transforming matrices are designed for the consideration of depressing the resolution threshold and estimation variance 分析比較了波束域處理與陣元域處理的分辨能力以及估計性能,并從降低分辨門限和估計方差角度考慮,給出了轉(zhuǎn)換矩陣的構(gòu)造方法。
Tricepstrum equalization algorithm ( btea ) and super - exponential ( se ) algorithm based on block data estimation is studied , and these algorithms use hos explicitly . their performance , such as estimation variance and bias , is analyzed . a kind of sparse cross cumulant and sparse equalizer is proposed to simplify the se algorithm , and the simulating results show efficient reduction in complication ?研究了幾種直接使用高階統(tǒng)計量的算法,包括基于數(shù)據(jù)段估計的倒三譜算法和超指數(shù)算法,分析了算法的估計方差和偏差等性能;由于超指數(shù)算法計算量較大,不利于實(shí)時均衡,利用水聲信道的稀疏性,提出了一種基于稀疏互四階累積量和稀疏權(quán)的算法,有效降低了超指數(shù)算法的計算量。