This paper addresses pre-detection signal processing of dual-band detection algorithms, a generalized likelihood ratio test and modified sample matrix inversion, are developed for the case of gaussian interference. The associated theoretical detection performance and computational requirements are also derived. General detection performance formulas are provided which can be used to determine the conditions for which the dual-band algorithms provide the greatest improvement in performance. The utility of the dual-band detection algorithms is demonstrated by comparison with the optimal single- and dual-band likelihood ratio tests as well as the single-band GLRT and MSMI algorithms. The dual-band algorithms are also compared with a system using two single-band filter channels whose outputs are combined after thresholding. Results are generated from theoretical formulas and from a simulation, developed at GE, which duplicates the filtering and detection functions of the algorithms.
Paul D. Rivkin,
"Signal processing of infrared dual-band data", Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); doi: 10.1117/12.157760; https://doi.org/10.1117/12.157760