基于自适应迭代的强弱信号波达方向估计
发布时间:2018-09-01 06:02
【摘要】:针对强弱信号难以同时检测与估计的问题,本文提出一种基于自适应迭代的强弱信号波达方向估计方法.首先将空间角度离散化,根据信号相消的性质构造空间谱函数,然后通过自适应迭代抑制强信号的能量,最后计算不同角度对应的空间谱函数,利用其谱峰估计信号的波达方向.理论分析和仿真实验表明,本文方法无需信号源的先验信息,在低信噪比和少量快拍数的条件下,可以实现强弱信号DOA的高分辨估计,有效提高弱信号的检测概率和估计精度.
[Abstract]:Aiming at the difficulty of simultaneous detection and estimation of strong and weak signals, an adaptive iterative method for DOA estimation of strong and weak signals is proposed in this paper. Firstly, the spatial angle is discretized, then the spatial spectral function is constructed according to the property of signal cancellation, then the energy of strong signal is suppressed by adaptive iteration, and the spatial spectral function corresponding to different angles is calculated. The direction of arrival (DOA) of the signal is estimated by its spectral peak. Theoretical analysis and simulation results show that the proposed method can achieve high resolution DOA estimation of strong and weak signals without prior signal source information, and can effectively improve the detection probability and estimation accuracy of weak signals under the condition of low signal-to-noise ratio (SNR) and a small number of rapids.
【作者单位】: 西安电子科技大学雷达信号处理国家重点实验室;
【基金】:国家自然科学基金(No.61231017)
【分类号】:TN911.23
[Abstract]:Aiming at the difficulty of simultaneous detection and estimation of strong and weak signals, an adaptive iterative method for DOA estimation of strong and weak signals is proposed in this paper. Firstly, the spatial angle is discretized, then the spatial spectral function is constructed according to the property of signal cancellation, then the energy of strong signal is suppressed by adaptive iteration, and the spatial spectral function corresponding to different angles is calculated. The direction of arrival (DOA) of the signal is estimated by its spectral peak. Theoretical analysis and simulation results show that the proposed method can achieve high resolution DOA estimation of strong and weak signals without prior signal source information, and can effectively improve the detection probability and estimation accuracy of weak signals under the condition of low signal-to-noise ratio (SNR) and a small number of rapids.
【作者单位】: 西安电子科技大学雷达信号处理国家重点实验室;
【基金】:国家自然科学基金(No.61231017)
【分类号】:TN911.23
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