雷达中目标信号的检测需要较高的信噪比,对目标信号进行非相参积累是常用的提高信噪比的处理方式,非相参积累可以采用线性或平方律检测器实现。基于似然比检测理论,文中给出了线性和平方律检测器,在五种斯威林起伏模型下推导了平方律检测器的检测概率计算公式,以及虚警概率计算公式。非相参积累实际上是一种对雷达信号的平滑处理,它改变了雷达信号的概率分布,从而具有等效信噪比增益。文中给出了检测概率与信噪比的关系曲线,还对非相参积累和相参积累的信噪比增益进行了比较,并在积累脉冲数较少的情况下对五种斯威林目标计算了非相参积累的等效增益。该研究对雷达工程具有一定的参考价值。

The detection of target signal in the radar requires higher signal-to-noise ratio(SNR), and the non-coherent integration (NCI) of the target signal is an usual processing way to raise SNR and it can be realized using the linear or square-law detector. Based on the likelihood ratio detection theory, the linear and square-law detectors are obtained in this paper, and then the detection probability formulas of the square-law detector for the target signals of five kinds of different Swerling fluctuation and the false-alarm probability formula are derived. The NCI is practically a kind of smoothing processing for radar signal, and it changes the probability distributions of radar signal and therefore obtains the equivalent SNR gain. The relation curves between the detection probability and the SNR are given in this paper, the comparison of SNR gain between the NCI and the coherent integration (CI) is also made, and the equivalent SNR gains of NCI are analytically computed for less non-coherent pulses and different Swerling fluctuations. The above study is of high reference value for the radar engineering.

TN959