一種基于最小冗余線陣的時空共軛循環(huán)譜相關(guān)ESPRIT算法
A TEMPORO-SPATIAL CONJUGATE CYCLIC ESPRIT SPECTRUM CORRELATION ALGORITHM WITH MINIMUM-REDUNDANCY
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摘要: 本文提出了一種基于最小冗余線陣的共軛循環(huán)譜相關(guān)ESPRIT算法。該算法引入了時空聯(lián)合處理,構(gòu)造了最小冗余線陣的偽數(shù)據(jù)矩陣,并基于此矩陣進行DOA估計。當采用M陣元最小冗余線陣時,該算法的等效陣列孔徑為2N-1(NM)。理論和計算機仿真實驗均表明:與基于均勻線陣的共軛循環(huán)ESPRIT算法相比,該算法具有良好的DOA估計性能,擴展了陣列孔徑,抗噪能力強,分辨率高,能用較少的陣元估計更多的信號源方向。
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關(guān)鍵詞:
- 最小冗余線陣; 虛擬陣列; 波達方向估計
Abstract: ln this paper,the spectral correlation conjugate cyclic ESPRIT with Minimum Redundancy Linear-Arrays (MRLA) is presented.The algorithm constructs the pseudodata matrix of MRLA to estimate Direction-Of-Arrival (DOA) through temporal and spatial processing The equivalent array aperure of the algorithm is 2N-1 with M-sensor MRLA (NM).Theoretical analysis and computer simulations show that the algorithm is of better performance,such as extending aperture,being insensitive to noise,having higher resolution,and estimating more sources With fewer sensors -
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