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Multiple Target Localization Using Wideband Echo Chirp Signals

机译:使用宽带回声Chi信号进行多目标定位

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摘要

In various military and biomedical applications active target detection and localization is a classical signal processing problem. In this project a novel method is proposed for the detection and estimation of Range, velocity and Direction Of Arrival (DOA) of multiple far field targets using wideband chirp signals. Utilizing the plane wave representation of the signals reflected from far-field targets focuses on a modular preprocessing method is intended for the reverberation signals got at a concentric round exhibit. The parameter estimation method for multiple targets is improved on the basis of (i) Fractional Fourier transform that extends a signal onto an ortho normal signal basis by chirps (ii) Root-MUSIC algorithm which is a high resolution DOA estimation method initially proposed for narrowband signals got at a uniform linear array. By using proposed method infinite no of targets can be detectable as long as there is a separable echo signals in fractional Fourier domain which is chosen. Proposed method gives good performance shown in simulation results as the parameters estimated with low root-mean-square errors under difficult conditions like closely spaced targets and low signal-to-noise ratio.
机译:在各种军事和生物医学应用中,主动目标的检测和定位是经典的信号处理问题。在该项目中,提出了一种使用宽带线性调频信号检测和估计多个远场目标的距离,速度和到达方向(DOA)的新方法。利用从远场目标反射的信号的平面波表示法,集中于一种模块化预处理方法,该方法旨在用于同心圆展品上获得的混响信号。在以下基础上改进了用于多个目标的参数估计方法:(i)通过)将信号扩展到正交法向信号的分数阶傅里叶变换(ii)Root-MUSIC算法,这是最初为窄带提出的高分辨率DOA估计方法信号以均匀的线性阵列排列。通过使用所提出的方法,只要选择了分数傅里叶域中存在可分离的回波信号,就可以检测到无限多个目标。所提出的方法在模拟结果中表现出良好的性能,因为在困难的条件下(如目标间距很近且信噪比很低),参数的均方根误差较低。

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