| 一种L型阵列的相干分步降维DOA估计方法* |
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| 引用本文： | 张艳萍,赵玉垒,孙心宇.一种L型阵列的相干分步降维DOA估计方法*[J].计算机应用研究,2016,33(5). |
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| 作者姓名： | 张艳萍 赵玉垒 孙心宇 |
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| 作者单位： | 南京信息工程大学 电子与信息工程学院 江苏省大气环境与装备技术协同创新中心,南京信息工程大学 电子与信息工程学院 江苏省大气环境与装备技术协同创新中心,南京信息工程大学 电子与信息工程学院 江苏省大气环境与装备技术协同创新中心 |
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| 基金项目： | 国家自然科学基金资助项目(61203273)；2013年度江苏省高校自然科学研究重大资助项目(13KJA510001)；江苏省普通高校研究生科研创新计划项目(CX10B_303Z) |
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| 摘 要： | 针对相干信号二维波达方向(Direction Of Arrival,DOA)估计运算复杂度高的问题,本文提出了一种基于前后向空间平滑的分步降维MUSIC算法。该算法首先通过前后向空间平滑技术去相干,然后通过一维空间谱搜索得到一维入射角,最后通过最小二乘法得到二维入射角,进而得到相干信号的DOA。仿真实验表明该方法可以实现对相干信号的二维DOA估计,且具有较好的DOA估计性能,同时降低了运算复杂度。
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| 关 键 词： | 相干 空间平滑 DOA估计 分步降维 |
| 收稿时间： | 2015/1/19 0:00:00 |
| 修稿时间： | 2016/3/24 0:00:00 |
An DOA algorithm of reduced dimension for L-shaped arraywith coherent signal source |
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| ZHANG Yan-ping,ZHAO Yu-lei and SUN Xin-yu.An DOA algorithm of reduced dimension for L-shaped arraywith coherent signal source[J].Application Research of Computers,2016,33(5). |
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| Authors: | ZHANG Yan-ping ZHAO Yu-lei and SUN Xin-yu |
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| Affiliation: | College of Electronic Information Engineering,Nanjing University of Information Science Technology,Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment,,College of Electronic Information Engineering,Nanjing University of Information Science Technology,Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment |
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| Abstract: | According to the heavy computation complexity of two-dimensional DOA estimation for coherent signals, this paper proposed a fractional dimension reduction MUSIC algorithm MUSIC method based on the Forward/Backward spatial smoothing Technique. Firstly this algorithm de-correlates the coherent signals through the Forward/Backward spatial smoothing Technique, then one-dimensional spatial spectrum search is used to get a one-dimensional angle of incidence . Finally, the least square method obtains a two-dimensional angle of incidence and then the DOA of coherent signals can be obtained. Simulation results show that this method can be achieved on a two-dimensional DOA estimation of coherent signals and keeps a better DOA estimation performance. This algorithm also reduces the computational complexity. |
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| Keywords: | coherent signals spatial smoothing Technique Direction Of Arrival (DOA) estimation Fractional dimension reduction |
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