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Fast Parameters Estimation of LFM Signals via Radon-Wigner Transform

机译:通过Radon-Wigner变换快速估计LFM信号的参数

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The line integral of Radon-Wigner Transform (RWT) can transform the line in Wigner-Ville distribution into a point in the plane, which can be used to estimate the chirp rate and initial frequency. The calculation is costly because of two-dimensional (2-D) searching in the plane. Therefore, how to improve calculation velocity is the key of RWT method. Multi-resolution fast parameters estimation algorithm for Linear Frequency Modulation (LFM) signals via RWT is offered in this paper. The analysis results indicate that RWT is similar to Radon-ambiguity Transform (RAT) in calculation load. Performance of the parameters estimation is studied based on Residual Expansion Coefficient (REC) and Frequency Deviation Coefficient (FDC). Simulation results show that the algorithm has reached the Cramer-rao Bound (CRB) even on low SNR. The method has prospective benefits of parameters estimation for multi-component LFM signals.
机译:Radon-Wigner变换(RWT)的线积分可以将Wigner-Ville分布中的线转换为平面中的一个点,可用于估计线性调频率和初始频率。由于在平面中进行二维(2-D)搜索,因此计算成本很高。因此,如何提高计算速度是RWT方法的关键。本文提出了一种基于RWT的线性调频(LFM)信号多分辨率快速参数估计算法。分析结果表明,RWT在计算负荷上与Radon-Afguity Transform(RAT)相似。基于剩余展开系数(REC)和频偏系数(FDC)研究了参数估计的性能。仿真结果表明,即使在低信噪比的情况下,该算法也达到了Cramer-rao Bound(CRB)。该方法具有用于多分量LFM信号的参数估计的预期益处。

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