Adaptive Detection in Stationary and Nonstationary Noise Environments
MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
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This report describes the statistical performance of several radar- based adaptive detection schemes in both stationary and nonstationary noise and interference environments. The detectors under study must be able to correctly determine the presence of a target in a range gate with a high degree of probability given that the probability of misclassification is a fixed small value. The hostile noise environment is assumed to consist of possibly time- varying, spatially correlated interference along with Gaussian background noise. In a typical radar environment, the mean value of the returned radar signal and the noise covariance matrix are unknown parameters therefore, generalized likelihood ratio test procedures were used to develop decision rules that meet the Neyman-Pearson criterion. Three major cases of interest were examined. First, the single-pulse test developed by Kelly is reviewed. The multiple-pulse return test case is extremely complicated and was divided into distinct detector forms noncoherent and coherent. The performance of each detector is a function of the signal-to-noise ratio, the number of radar pulse returns used in the decision rule, and the quality of the covariance estimate.
- Statistics and Probability
- Active and Passive Radar Detection and Equipment