本文選題：波達(dá)方向估計(jì) + 信號(hào)個(gè)數(shù)��； 參考：《電子與信息學(xué)報(bào)》2015年04期

【摘要】：子空間類(lèi)超分辨波達(dá)方向(DOA)估計(jì)算法需預(yù)先估計(jì)信號(hào)個(gè)數(shù),當(dāng)信號(hào)個(gè)數(shù)估計(jì)錯(cuò)誤時(shí),其性能會(huì)嚴(yán)重下降。該文提出一種新穎的半實(shí)值Capon(SRV-Capon)DOA估計(jì)算法。該算法繼承了Capon算法無(wú)需信號(hào)個(gè)數(shù)估計(jì)的優(yōu)點(diǎn)并克服了現(xiàn)存實(shí)值算法僅適用于中心對(duì)稱(chēng)陣列(CSA)的缺點(diǎn)。相比于Capon算法,SRV-Capon僅利用陣列接收數(shù)據(jù)協(xié)方差矩陣的實(shí)部求逆構(gòu)建空間譜函數(shù),實(shí)現(xiàn)了譜值計(jì)算的半實(shí)值化并將譜搜索的范圍壓縮至原來(lái)的一半,從而至少降低約75%的計(jì)算量。理論分析和仿真實(shí)驗(yàn)證明了該算法的有效性。
[Abstract]:The subspace-like super-resolution DOA (DOA) estimation algorithm needs to estimate the number of signals in advance. When the number of signals is estimated incorrectly, its performance will be seriously degraded.In this paper, a novel semi-real valued Capon(SRV-Capon)DOA estimation algorithm is proposed.This algorithm inherits the advantages of Capon algorithm which does not need to estimate the number of signals and overcomes the shortcoming that the existing real-valued algorithm is only suitable for centrosymmetric arrays (CSAs).Compared with the Capon algorithm, SRV-Capon only uses the real part of the array received data covariance matrix to construct the spatial spectral function, which realizes the half-real value of the spectral value calculation and reduces the range of spectral search to half of the original value, thus reducing the computation cost by at least 75%.Theoretical analysis and simulation results show the effectiveness of the algorithm.
【作者單位】： 哈爾濱工業(yè)大學(xué)(威海)信息與電氣工程學(xué)院;哈爾濱工業(yè)大學(xué)航天學(xué)院;
【基金】：山東省自然科學(xué)基金(ZR2014FQ003) 哈爾濱工業(yè)大學(xué)(威海)�？茖W(xué)研究基金(HIT(WH)201411)資助課題
【分類(lèi)號(hào)】：TN911.23

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本文編號(hào)：1761873