Detection in Multiple Disparate Systems using Multi-Channel Coherence Analysis

作者：Klausner Nick^*; Azimi Sadjadi Mahmood R

来源：IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(4): 3554-3566.

DOI：10.1109/TAES.2012.6324738

This paper presents a coherence-based detection method for multiple disparate sensing systems using the multi-channel coherence analysis (MCA) framework. MCA provides an optimal coordinate system for multi-channel detection problems as it finds sets of one-dimensional mapping vectors that maximize the sum of the cross-correlations among all pair-wise combinations of channels. The standard detector for Gaussian random vectors is then cast into the MCA framework by developing the log-likelihood ratio and J-divergence measure. The proposed detection method is then tested on a data set consisting of sets of four side-scan sonar images coregistered over the same region on the seafloor and the results are compared with those of a multi-channel generalized likelihood ratio (GLR) detector.

• 出版日期2012-10