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在价格低廉的采用实时、单扫描数据处理的脉冲雷达中,为了探测小目标,一种自适应海杂波抑制电路已付诸实现。笔者认为,最重要的问题之一是在未知的杂波、雨和噪声环境中,以可能最佳的灵敏度获得恒虚警率(CFAR)。现已采用对数正态分布、瑞利分布和威伯尔分布;按照雷达方程,标准偏差意味着作用距离减小;甚至在很近的距离上,这种雷达也能以50毫微秒～2微秒的脉冲宽度工作,这可以从上述扫描的杂波估算中得到。于是可以获得对于检测门限的最佳杂波估算值、在不同的杂波环境下的恒虚警率以及在每一条件下的最佳灵敏度。文末展示了实验结果。
In low-cost pulse radar with real-time, single-scan data processing, an adaptive sea clutter suppression circuit has been implemented to detect small targets. In my opinion, one of the most important issues is obtaining CFAR with the best possible sensitivity in unknown clutter, rain and noisy environments. Now using the logarithmic normal distribution, Rayleigh distribution and Weibull distribution; according to the radar equation, the standard deviation means that the range of action decreases; even in close proximity, this radar can also 50 nanoseconds ~ Pulse width of 2 microseconds work, which can be obtained from the above-mentioned clutter estimation of the sweep. Thus, the best clutter estimate for the detection threshold, the constant false alarm rate in different clutter environments, and the best sensitivity under each condition can be obtained. The end of the article shows the experimental results.