Exact Performance Analysis of the Censored Mean-Level Detector in a Multiple-Target Environment,
Abstract
The censored mean-level detector (CMLD) is an alternative to the mean-level detector that achieves robust detection performance in a multiple-target environment by censoring several of the largest samples of the maximum-likelihood estimate of the background noise level. Here we derive exact expressions for the probability of detection of he CMLD in a multiple-target environment when a fixed number of Swerling II targets are present. The primary target is modelled by Swerling case II, and only single-pulse processing is analyzed. Optimization of the CMLD parameters is considered, and a comparison to other detectors is presented. Keywords include: Radar; Detection; and Multiple targets.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 15, 1985
- Accession Number
- ADA160349
Entities
People
- J. A. Ritcey
Organizations
- University of California, San Diego