基于半實(shí)值Capon的高效波達(dá)方向估計算法
doi: 10.11999/JEIT141034
基金項目:
山東省自然科學(xué)基金(ZR2014FQ003)和哈爾濱工業(yè)大學(xué)(威海)?？茖W(xué)研究基金(HIT(WH)201411)資助課題
Efficient Direction-of-arrival Estimation Based on Semi-real-valued Capon
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摘要: 子空間類超分辨波達(dá)方向(DOA)估計算法需預(yù)先估計信號個數(shù)，當(dāng)信號個數(shù)估計錯誤時，其性能會嚴(yán)重下降。該文提出一種新穎的半實(shí)值Capon(SRV-Capon)DOA估計算法。該算法繼承了Capon算法無需信號個數(shù)估計的優(yōu)點(diǎn)并克服了現(xiàn)存實(shí)值算法僅適用于中心對稱陣列(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)了譜值計算的半實(shí)值化并將譜搜索的范圍壓縮至原來的一半，從而至少降低約75%的計算量。理論分析和仿真實(shí)驗(yàn)證明了該算法的有效性。
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關(guān)鍵詞:
- 波達(dá)方向估計 /
- 信號個數(shù) /
- 半實(shí)值Capon /
- 任意陣列結(jié)構(gòu)
Abstract: Subspace based Direction-Of-Arrival (DOA) estimators require usually the number of sources to be known in advance. If the number of sources is incorrectly estimated, the performance of those methods is able to deteriorate significantly. This paper presents a novel efficient Semi-Real-Valued Capon (SRV-Capon) algorithm for DOA estimation with unknown number of signals. Compared with state-of-the-art real-valued techniques suitable for only Centro-Symmetrical Arrays (CSAs), the proposed method can be used with arbitrary arrays. Unlike conventional Capon with heavy complex computations, SRV-Capon exploits only the real part of the array output covariance matrix, leading to a real-valued spectral search over only half of the total angular field-of-view, which hence reduces about 75% computational complexity. Theoretical analysis and simulations demonstrate the effectiveness of the proposed approach. -
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