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An Effective CS-BP Algorithm for 2-D DOA Estimation

机译:二维DOA估计的有效CS-BP算法

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摘要

The bandwidth of the direction of arrival (DOA) estimation requires high sampling rate which extends the current analog to digital converter capacity. The paper presents an effective basis pursuit (BP) algorithm based on compressive sensing (CS) signals, which is called CS-BP algorithm, for two-dimensional(2-D) DOA estimation of Linear Frequency Modulation (LFM). The simulation results verified that the method can effectively reduce the sampling data, and improve DOA estimation performance and efficiency.
机译:到达方向(DOA)估计的带宽需要高采样率,这会扩展当前的模数转换器容量。针对线性调频(LFM)的二维(2-D)DOA估计,提出了一种基于压缩感知(CS)信号的有效基础追踪(BP)算法,称为CS-BP算法。仿真结果表明,该方法可以有效减少采样数据,提高DOA估计性能和效率。

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