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信号处理机是雷达发射信号脉内与咏间起伏特性(频率,相位及幅度起伏)中频测量系统的主要分机之一。木文详细讨论了本信号处理机的二大关键技术。其一是由高速 CCD 器件与慢速 A/D 转换器组成高速 A/D 转换电路。第二个是采用现代谱估计技术(最大熵法,最小交叉熵法)分别对雷达发射信号脉内及脉间的起伏特性进行分析。我们提出了一种快速估计最小交叉熵功率谱的递推算法,使计算速度提高数十倍。根据对已有的雷达信号实测数据谱分析的结果,我们给出了磁控管发射信号频率噪声模型,并指出用常规FFT 法容易误判的原因。
The signal processor is one of the main extensions of the IF measurement system for transmitting radar signals in and out of the pulse (frequency, phase and amplitude fluctuations). Wood detailed discussion of the signal processor two key technologies. One is composed of high-speed CCD devices and slow A / D converter high-speed A / D converter circuit. The second is the use of modern spectral estimation techniques (maximum entropy method, minimum cross-entropy method) respectively, the radar emission signal pulse and pulse characteristics of the pulse between the analysis. We propose a recursive algorithm for fast estimation of the minimum cross-entropy power spectrum, which increases the computational speed by tens of times. Based on the analysis of the measured data spectrum of the existing radar signals, we give the frequency noise model of the magnetron signal and point out the reasons that the conventional FFT method is easy to misjudge.