Adaptive detection in stationary and nonstationary noise environments
Abstract
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.
- Publication:
-
NASA STI/Recon Technical Report N
- Pub Date:
- February 1994
- Bibcode:
- 1994STIN...9521099M
- Keywords:
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- Background Noise;
- Detection;
- Noise;
- Radar;
- Radar Targets;
- Random Noise;
- Statistical Analysis;
- Noise Measurement;
- Signal To Noise Ratios;
- Communications and Radar