利用LFM脉冲压缩技术改进雷达性能

Ilfiyantri Intyas, Rahmawati Hasanah, M. R. Hidayat, Barokatun Hasanah, Andriyan B. Suskmono, A. Munir
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引用次数: 8

摘要

距离分辨性能是设计一个好的雷达系统的一个基本方面。雷达系统对远距离小目标的探测要求具有良好的距离分辨性能。众所周知,较长的脉冲将增加能量并改善目标探测。反之,脉冲越短,雷达的距离分辨率越高。线性调频(LFM)脉冲波是目前常用的一种脉冲压缩技术。本文介绍了提高雷达性能的线性调频脉冲压缩技术,并在Matlab和GNU无线电中进行了音频和无线电波的仿真。从脉冲压缩比(PCR)的参数来观察LFM脉冲压缩技术的雷达分辨率性能。PCR值越高,雷达分辨率越高。结果表明,在Matlab®模拟中,音频和无线电波的PCR值分别为6000和300000。此外,在GNU无线电实现中,使用音频和无线电波的PCR值分别为0.275和50。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improvement of radar performance using LFM pulse compression technique
One fundamental aspect in designing a good radar system is the performance of range resolution. The good range resolution performance is required in radar system to detect small targets at a long distance. It is already known that the longer pulse will increase energy and improve target detection. Conversely, shorter pulse will increase the range resolution of radar. Recently, one pulse compression technique frequently used is linear frequency modulated (LFM) pulse wave. This paper presents the LFM pulse compression technique for improving radar performance and its simulation in Matlab and GNU radio using audio and radio waves. The performance of radar resolution using LFM pulse compression technique is observed from the parameter of pulse compression ratio (PCR). A higher PCR value indicates a better radar resolution. From the result, it shows that the values of PCR in Matlab® simulation using audio and radio waves are 6000 and 300000, respectively. Moreover, in GNU radio implementation, the values PCR using audio and radio waves are 0.275 and 50, respectively.
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