利用遗传算法提高MIMO-OFDM雷达系统性能

O. Daoud, A. Damati, W. Al-Sawalmeh
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引用次数: 2

摘要

针对多输入多输出(MIMO)-正交频分复用(OFDM)系统,提出了一种基于遗传算法(GA)的峰值平均功率比(PAPR)降低方法。它已经被引入与雷达系统兼容,其中遗传算法被用来优化MIMO-OFDM符号,以这种方式可以提高系统的性能。在这项工作中,对三个系统进行了比较;原始雷达系统、基于雷达系统的MIMO-OFDM和基于雷达系统的MIMO-OFDM采用遗传算法。最后,给出了一系列的仿真结果,证明了该方案的优越性,因为它在减小PAPR效应的同时,还增加了覆盖距离。
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Enhancing the MIMO-OFDM Radar systems performance using GA
This paper proposes a new peak-to-average power ratio (PAPR) reduction method for a multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) systems based on a genetic algorithm (GA). It has been introduced to be compatible with Radar systems, where the GA was used to optimize the MIMO-OFDM symbols in such way that could improve the system's performance. During this work, there was a comparison that has been stated among three systems; original radar system, radar system-based MIMO-OFDM and radar system-based MIMO-OFDM uses GA. Finally, a range of simulation results are provided to demonstrate the superiority of the proposed scheme, since it is showed an enhancement in the coverage distance besides reducing the PAPR effects.
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