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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 24, 1994
- Accession Number
- ADA279581
Entities
People
- Paul Monticciolo
Organizations
- Massachusetts Institute of Technology