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Successive DSPE-based coherently distributed sources parameters estimation for unmanned aerial vehicle equipped with antennas array

机译:基于连续DSPE的相干分布源参数估计的天线阵列无人机

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In electronic countermeasures and reconnaissance, unmanned aerial vehicle (UAV) has played a more and more significant role. Usually when UAV conducts low altitude reconnaissance, due to the complicated environment, the reflected signals of the same source through different propagation paths will produce multipath signals. In this paper, we construct the received multipath signals of UAV with antennas array as coherently distributed (CD) sources model and propose a successive distributed signal parameter estimation (S-DSPE) algorithm to estimate its nominal direction of arrival (DOA) and angular spread. The proposed algorithm simplifies two-dimensional (2D) spectral peak searching within the conventional DSPE algorithm to one-dimensional spectral peak searching, which remarkably reduces the computational complexity of conventional DSPE algorithm. Furthermore, the parameters estimation performance of the proposed algorithm is close to the conventional DSPE algorithm, and outperforms the estimation of signal parameters via rotational invariance technique (ESPIRT) algorithm and propagator method (PM). The simulations results verify the usefulness of the proposed algorithm. (C) 2018 Elsevier B.V. All rights reserved.
机译:在电子对抗和侦察中,无人机(UAV)发挥了越来越重要的作用。通常,当无人机进行低空侦察时,由于环境复杂,同一源通过不同传播路径的反射信号将产生多径信号。在本文中,我们将天线阵列接收的无人机的多径信号构造为相干分布(CD)源模型,并提出了一种连续分布信号参数估计(S-DSPE)算法,以估计其标称到达方向(DOA)和角度扩展。该算法将常规DSPE算法中的二维(2D)谱峰搜索简化为一维谱峰搜索,从而显着降低了常规DSPE算法的计算复杂度。此外,该算法的参数估计性能与传统的DSPE算法相近,并且优于通过旋转不变技术(ESPIRT)算法和传播器方法(PM)进行的信号参数估计。仿真结果验证了该算法的有效性。 (C)2018 Elsevier B.V.保留所有权利。

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