The density of the signal flow in electronic reconnaissance has developed from tens of thousands of pulses per second earlier to millions of pulses per second currently. To address the problem of rapidly identifying, analyzing, and locating all threat signal sources in the electronic reconnaissance environment. Firstly, the thought of direction of arrival (DOA) estimation followed by signal sorting is investigated, which contributes to achieving the parameter estimation and analysis of all signals in complex electromagnetic environments. Additionally, the DOA estimation method utilizes the signal power received by the array to correctly decouple the spatial phase difference from the polarization phase difference. By exploiting the thought of subspace decomposition, the robustness of the decoupling is improved. Then, the estimation formulas of the DOA and polarization parameters are found. Finally, polarization parameters are used to participate in the signal sorting, which significantly reduces the density of the signal flow faced by the signal sorting method, and improves the real-time and accuracy of signal sorting. The proposed methods achieve microsecond-level DOA estimation and signal sorting for broadband high-density signal flows. Numerical simulation results demonstrate the superiority of the proposed method.

中文翻译：

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多基线偏振干涉仪的DOA估计及信号排序方法

电子侦察信号流的密度已从早期的每秒数万脉冲发展到目前的每秒数百万脉冲。解决电子侦察环境中所有威胁信号源的快速识别、分析和定位问题。首先研究了信号到达方向(DOA)估计和信号排序的思想，有助于实现复杂电磁环境下所有信号的参数估计和分析。此外，DOA估计方法利用阵列接收到的信号功率来正确地将空间相位差与偏振相位差解耦。通过利用子空间分解的思想，提高了解耦的鲁棒性。然后，找到了DOA和偏振参数的估计公式。最后利用偏振参数参与信号排序，显着降低了信号排序方法面临的信号流密度，提高了信号排序的实时性和准确性。所提出的方法实现了宽带高密度信号流的微秒级 DOA 估计和信号排序。数值模拟结果证明了该方法的优越性。