Measurement-based radar waveform optimization using the ambiguity function and spectral mask

Matthew Fellows, J. Barlow, Joseph Barkate, Matthew Mosley, Matthew Flachsbart, C. Baylis, L. Cohen, R. Marks
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引用次数: 2

Abstract

This paper demonstrates the optimization of a radar waveform based on ambiguity function measurements and spectral mask criteria. Compliance with spectral mask criteria is becoming ever-critical in radar systems due to the increased number of devices using the wireless spectrum. The capability of reducing ambiguity at certain range-Doppler combinations is useful in enhancing the detection capability of radar systems. This paper shows the combined optimization for both ambiguity function and spectral mask criteria based on time-domain measurements taken with a high-speed oscilloscope. A benefit of optimizing based on measurements is that the transmitter power amplifier's output waveform can be used, allowing the results of nonlinear distortion to be factored into the optimization process.
基于模糊函数和频谱掩模的测量雷达波形优化
本文演示了基于模糊函数测量和频谱掩模准则的雷达波形优化。由于使用无线频谱的设备数量增加,符合频谱掩模标准在雷达系统中变得越来越重要。在一定距离-多普勒组合下降低模糊度的能力有助于提高雷达系统的探测能力。本文给出了基于高速示波器时域测量的模糊函数和频谱掩模准则的组合优化方法。基于测量进行优化的一个好处是可以使用发射机功率放大器的输出波形,从而将非线性失真的结果考虑到优化过程中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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