Target-Multiplicity Analysis of CML Processor for Partially-Correlated χ2 Targets

摘要

Our scope in this paper is to treat the problem of detecting what is called moderately fluctuating targets when the operating environment is contaminated with a number of outlying targets along with the target under test (multiple-target situations). The illumination of this important class of radar targets by a coherent pulse train, return a train of correlated pulses with a correlation coefficient in the range 02 fluctuation model. SWI and SWII cases represent the situations where the signal is completely correlated and completely decorrelated, respectively, from pulse to pulse. Exact expressions are derived for the detection and false alarm rate performances in nonideal situations. For weak SNR, it is shown that the processor performance improves as the correlation coefficient ρ increases and this occurs either in the absence or in the presence of outlying targets. This behavior is rapidly changed as the SNR becomes stronger where the processor performance degrades as ρ increases, and the SWII and SWI models embrace all the correlated target cases.