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基于Radon-WDL变换的LFM信号参数估计与应用

发布时间:2019-01-27 21:42
【摘要】:在现代电子战中,线性调频(LFM)信号因具有大带宽与大时宽,在雷达目标探测中呈现出在距离与速度上的高分辨率性能。因此,能够有效、高精度的实现线性调频信号的参数估计对实现高精度目标探测意义重大。由于传统的LFM信号参数估计算法精度较差已不能满足现代雷达对高精度目标探测的要求,本文研究了能够有效、精度更高的参数估计方法Radon-WDL变换(RWLT),其中WDL为Wigner-Ville分布与线性正则变换(LCT)结合的变换。同时,为了提高雷达目标探测的抗干扰性能,研究了针对于基于LFM信号的典型DRFM干扰—CI干扰与SMSP干扰的Radon-WDL变换参数估计方法。本文围绕基于Radon-WDL变换的LFM信号、多分量LFM信号、CI干扰与SMSP干扰的参数估计问题进行了研究,主要研究内容包含如下:1、针对有限长单分量LFM信号的参数估计精度问题,在Radon-WVD变换(RWT)基础上,研究了Radon-WDL变换算法,其为对信号的WDL进行Radon直线积分。首先,研究了有限长单分量LFM信号的Radon-WDL变换的理论基础及算法实现步骤。然后,通过蒙特卡洛仿真验证:相对于Radon-WVD变换,Radon-WDL变换对有限长单分量LFM信号的参数估计的有效性与高精度性。2、针对多分量LFM信号参数估计中的交叉项干扰与参数估计的精度问题,在CLEAN-RWT变换的基础上,研究了基于CLEAN-RWLT变换,其为“CLEAN”思想与RWLT相结合的变换。Radon-WDL变换不仅可以有效的抑制WDL变换的交叉项干扰,而且可以实现相对于传统算法Radon-WVD变换更高精确的信号参数估计。“CLEAN”思想可以有效的消除遮掩影响以实现对多分量LFM信号进行逐个估计。最后,蒙特卡洛仿真验证CLEAN-RWLT变换对多分量LFM信号参数估计的有效性与高精度性能。3、针对CI干扰与SMSP干扰的交叉项抑制与参数高精度识别问题,在Radon-WVD变换的基础上,分别研究了针对于CI干扰与SMSP干扰的Radon-WDL变换算法。Radon-WDL变换不仅可以有效的抑制干扰WDL的交叉项,而且可以实现对于CI干扰与SMSP干扰的初始频率与调频斜率的有效的、更高精度参数估计。最后,蒙特卡洛仿真验证了相对于Radon-WVD变换,Radon-WDL变换对CI干扰与SMSP干扰的参数估计的有效性与高精度性能。
[Abstract]:In modern electronic warfare, LFM (LFM) signals have high resolution performance in range and speed because of their large bandwidth and large time-width. Therefore, it is very important to realize the parameter estimation of LFM signal with high precision. Because the traditional parameter estimation algorithm of LFM signal has poor accuracy, it can not meet the requirements of modern radar for high precision target detection. In this paper, an effective and more accurate parameter estimation method, Radon-WDL transform (RWLT), is studied in this paper. Where WDL is the combination of Wigner-Ville distribution and linear regular transformation (LCT). At the same time, in order to improve the anti-jamming performance of radar target detection, the parameter estimation method of Radon-WDL transform for typical DRFM jammer CI jamming and SMSP jamming based on LFM signal is studied. In this paper, the parameter estimation of LFM signal, multi-component LFM signal, CI interference and SMSP interference based on Radon-WDL transform is studied. The main contents are as follows: 1. On the basis of Radon-WVD transform (RWT), the Radon-WDL transform algorithm is studied, which is the Radon line integral to the WDL of the signal. Firstly, the theoretical basis of Radon-WDL transform of finite length single component LFM signal and the steps of algorithm implementation are studied. Then, Monte Carlo simulation shows that compared with Radon-WVD transform, Radon-WDL transform is effective and accurate in parameter estimation of LFM signal with finite length and single component. In order to solve the problem of crossover interference and precision of parameter estimation in multicomponent LFM signal, based on CLEAN-RWT transform, CLEAN-RWLT transform is studied. It is a combination of "CLEAN" idea and RWLT. Radon-WDL transform can not only effectively suppress the cross-term interference of WDL transform, The method of "CLEAN" can eliminate the influence of masking and estimate the multi-component LFM signal one by one. Finally, Monte Carlo simulation verifies the validity and high accuracy of CLEAN-RWLT transform for multi-component LFM signal parameter estimation. 3. Aiming at the cross-term suppression of CI interference and SMSP interference and the high precision identification of parameters, based on Radon-WVD transform, The algorithms of Radon-WDL transform for CI interference and SMSP interference are studied respectively. Radon-WDL transform can not only effectively suppress the crossover of interference WDL, but also realize the initial frequency and frequency modulation slope of CI interference and SMSP interference. Higher precision parameter estimation. Finally, Monte-Carlo simulation verifies the validity and high accuracy of Radon-WDL transform in parameter estimation of CI interference and SMSP interference compared with Radon-WVD transform.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN911.23

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