【摘要】：針對2維DOA估計(jì)問題,該文提出一種基于壓縮感知(CS)的寬頻段2維DOA估計(jì)算法,能夠同時(shí)得到多個(gè)窄帶信號的中心頻率、方位角和俯仰角。首先利用方位向和俯仰向的空間頻率分別建立過完備稀疏字典,然后通過對陣列接收數(shù)據(jù)的壓縮采樣得到空間頻率的高分辨估計(jì),最后通過空域?yàn)V波實(shí)現(xiàn)中心頻率、方位角和俯仰角之間的匹配。理論分析表明,該算法具有較高的估計(jì)精度與分辨力,對信噪比(SNR)要求不高,無需多維搜索過程,且經(jīng)過壓縮采樣降低了運(yùn)算量。仿真結(jié)果驗(yàn)證了算法的正確性與有效性。
[Abstract]:To solve the problem of 2-D DOA estimation, a 2-D DOA estimation algorithm based on compressed perceptual (CS) is proposed, which can simultaneously obtain the center frequency, azimuth and pitch angle of multiple narrowband signals. In this paper, the spatial frequency of azimuth and pitch is firstly used to set up an overcomplete sparse dictionary, then the high-resolution estimation of spatial frequency is obtained by the compressed sampling of the data received by the array, and the center frequency is realized by spatial filtering. A match between the azimuth and the pitch. The theoretical analysis shows that the proposed algorithm has high estimation accuracy and resolution, does not require high SNR (SNR), does not require multidimensional search process, and reduces the computational complexity through compressed sampling. Simulation results show that the algorithm is correct and effective.
【作者單位】： 西安電子科技大學(xué)電子信息攻防對抗與仿真技術(shù)教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家部級基金 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)(JB140203) 國家973計(jì)劃項(xiàng)目(613181)資助課題
【分類號】：TN911.23

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

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2 李鵬飛;張e，

本文編號：2260381