Separation of HFM and NLFM signals for radar using fractional fourier transform

J. V. Suman, J. Seventline
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引用次数: 2

Abstract

The Hyperbolic Frequency Modulated (HFM) and Nonlinear Frequency Modulated (NLFM) signals have been gradually used in new radar systems. These signals excitation when combined with pulse compression provides an increase in SNR at the receiver. These signals are of longer duration as compared to pulse signals of same bandwidth. Separation of echoes becomes impossible in some practical situations when these signals are used for transmission. In this paper a new method is explored to separate the time overlapping HFM and NLFM signals using the fractional fourier transform. The motivation behind using this method is because some of the techniques like time windowing and frequency domain filtering are unable to separate these signals overlapping in time and spectra. Simulation results show that using FrFT desirable outputs are obtained.
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用分数阶傅里叶变换分离雷达高频调频和低频调频信号
双曲调频(HFM)和非线性调频(NLFM)信号已逐渐应用于新型雷达系统中。当这些信号与脉冲压缩相结合时,可以提高接收机的信噪比。与相同带宽的脉冲信号相比,这些信号的持续时间更长。当这些信号用于传输时,在某些实际情况下,分离回波是不可能的。本文探索了一种利用分数阶傅里叶变换分离时间重叠的高频调频信号和非线性调频信号的新方法。使用这种方法的动机是由于时间窗和频域滤波等技术无法分离这些在时间和频谱上重叠的信号。仿真结果表明,采用FrFT可以得到理想的输出。
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