Outage probability of cellular radio systems using MRC in spherically invariant environment
CoNEXT '05 Proceedings of the 2005 ACM conference on Emerging network experiment and technology
Reiterative robust adaptive thresholding for nonhomogeneity detection in non-gaussian noise
EURASIP Journal on Advances in Signal Processing
Knowledge-aided covariance matrix estimation and adaptive detection in compound-Gaussian noise
IEEE Transactions on Signal Processing
Detection of heterogeneous samples based on loaded generalized inner product method
Digital Signal Processing
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We derive the nonhomogeneity detector (NHD) for non-Gaussian interference scenarios and present a statistical analysis of the method. The non-Gaussian interference scenario is assumed to be modeled by a spherically invariant random process (SIRP). We present a method for selecting representative (homogeneous) training data based on our statistical analysis of the NHD for finite sample support used in covariance estimation. In particular, an exact theoretical expression for the NHD test statistic probability density function (PDF) is derived. Performance analysis of the NHD is presented using both simulated data and measured data from the multichannel airborne radar measurement (MCARM) program. A performance comparison with existing NHD approaches is also included.