MIMO雷达试验台检测性能的实验评价

T. Otsuki, I. Pasya, T. Kobayashi
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引用次数: 2

摘要

只提供摘要形式。利用研制的多输入多输出雷达试验台,对多输入多输出雷达探测性能进行了实验评估。实验装置采用2 × 2 MIMO(包括单输入单输出(SISO))配置,使用阶数为6的m序列作为基带信号,使用任意波形发生器(AWG)以2.5 GSample/s产生,占用500 MHz带宽。该信号使用二进制相移键控(BPSK)调制并上转换到3.5 GHz频段。接收信号通过下变频器和数字存储示波器(DSO)采集为时域数据,并进行脱机处理。匹配滤波器处理后进行阈值处理。为了改变信噪比(SNR),在接收机输入端加入噪声源,增加噪声功率。实验在消声室进行,以排除多径的影响。在对系统的检测性能进行评估后,我们采用了三种处理方式:MIMO、再相控网雷达(RPNR)和分布式雷达网络(DRN)处理。MIMO处理实现了一种非相干方法,其中仅使用信号的功率做出决策。相比之下,RPNR执行一种相干方法,考虑到信号的功率和相位信息。此外,接收信号相位被重新对齐,以最大限度地提高信噪比。DRN对每个单独的接收端进行非相干阈值处理,并将处理结果组合得到检测决策。在每次处理中,选择阈值将虚警概率固定在10-6。实验结果表明,这三种方案的检测性能都优于SISO。在80%的检测概率下,与SISO相比,RPNR、MIMO和DRN的信噪比分别提高了9、8和6 dB。尽管RPNR产生了最好的性能,但MIMO几乎以较低的复杂性执行,因为它使用了非相干方法。数值模拟结果与实验数据吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experimental evaluation of detection performance of a MIMO radar testbed
Summary form only given. This paper reports on experimental evaluation of multiple input, multiple output (MIMO) radar detection performance using a developed MIMO radar testbed. The experimental setup represents a 2 × 2 MIMO (including a single input, single output (SISO)) configuration, using a M-sequence with an order of 6 as baseband signal, generated using an arbitrary waveform generator (AWG) with 2.5 GSample/s, and occupying 500 MHz of bandwidth. This signal is modulated using binary phase shift keying (BPSK) and up-converted to 3.5 GHz frequency band. The received signal is acquired using a downconverter and a digital storage oscilloscope (DSO) as time domain data, and processed offline. Threshold processing is carried out after matched filter processing. Furthermore, in order to change the signal to noise ratio (SNR), noise power is added with a noise source at the receiver input. Experiments were conducted in a radio anechoic chamber to exclude the effects of multipath. Upon estimating the detection performance of the system, we adopted three types of processing: MIMO, re-phased netted radar (RPNR), and distributed radar network (DRN) processing. The MIMO processing implements a non-coherent approach where the decision is made using the signal's power alone. In contrast, the RPNR performs a coherent approach, taking into account the signal's power and phase information. In addition, the received signals phase is re-aligned to maximize the SNR. The DRN implements a non-coherent threshold processing on each individual receiver and combines the results to obtain the detection decision. In each processing, the threshold was selected to fix the probability of false alarm at 10-6. The three schemes were experimentally examined and their detection performances were found better than the SISO. At 80% probability of detection, the RPNR, the MIMO and the DRN marked 9, 8, and 6 dB of improvement in SNR, respectively, compared to the SISO. Although the RPNR yielded the best performance, the MIMO performed nearly with lower complexity since it utilized a non-coherent approach. The experimental data were also reproduced closely by numerical simulation.
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