Research on single snapshot DOA estimation algorithm based on incompletely overlapped signal

Mingchao QU; Weijian SI; Yazhi YUAN

doi:10.11959/j.issn.1000-436x.2021232

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Research on single snapshot DOA estimation algorithm based on incompletely overlapped signal

Papers | 更新时间：2024-06-05

- Research on single snapshot DOA estimation algorithm based on incompletely overlapped signal
- Journal on Communications Vol. 42, Issue 12, Pages: 88-95(2021)
- 作者机构：
  
  1. 哈尔滨工程大学信息与通信工程学院，黑龙江哈尔滨 150001
  2. 哈尔滨工程大学先进船舶通信与信息技术工业和信息化部重点实验室，黑龙江哈尔滨 150001
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61971155);The Natural Science Foundation of Heilong-jiang Province(JJ2019LH1760);The Aeronautical Science Foundation of China(2019010P6001)
- DOI：10.11959/j.issn.1000-436x.2021232
  CLC： TN911.7
- Online First：2021-12，
  
  Published：25 December 2021
- 稿件说明：
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Mingchao QU, Weijian SI, Yazhi YUAN. Research on single snapshot DOA estimation algorithm based on incompletely overlapped signal[J]. Journal on Communications, 2021, 42(12): 88-95.
DOI：

Mingchao QU, Weijian SI, Yazhi YUAN. Research on single snapshot DOA estimation algorithm based on incompletely overlapped signal[J]. Journal on Communications, 2021, 42(12): 88-95. DOI： 10.11959/j.issn.1000-436x.2021232.

摘要

针对传统波达方向（DOA）估计算法没有充分利用有源诱饵和雷达的信号特征，导致反辐射导弹的角度分辨能力差的问题，提出了一种基于不完全重合信号的极化敏感阵列单快拍测向算法。首先，对阵列接收到的单快拍数据进行极化平滑处理；然后，利用雷达信号和诱饵信号是不完全重合信号的特点，对构造的共轭复制增广矩阵进行差分，得到各信号的共轭复制增广矩阵；最后，通过求解凸优化问题分别求解每个信号的 DOA 参数。仿真结果表明，与传统算法相比，所提算法具有更高的估计精度和更低的算法复杂度。

Abstract

To address the problem that traditional direction-of-arrival （DOA） estimation algorithms did not fully utilize the signal characteristics of active decoys and radar， which led to poor angular resolution of anti-radiation missile， a single snapshot direction finding algorithm for polarization sensitive array based on incompletely overlapped signals was proposed.Specifically， the signal data received by the array was firstly processed by polarization smoothing.After that， exploiting the signal characteristics of incompletely overlapped signals of radar and active decoys， the constructed conjugate replication augmented matrix was differentiated to obtain each signal’s conjugate replication augmented matrix.Finally， DOA estimation results of each signal were acquired by solving a convex optimization problem.Numerical results demonstrate that the proposed method shows superior estimation accuracy and lower computational complexity compared with the conventional algorithms.

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references

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