Convergence Performance of Adaptive Detectors, Part 4
Abstract
Performance results for three multiple-observation binary adaptive detectors are presented. A multiple observation binary adaptive detector consisted of a selected single-observation adaptive detector followed by a binary integrator/detector (J out of M detector). Three types of single observation adaptive detectors are considered: nonconcurrent mean-level adaptive detection (MLAD), concurrent MLAD, and the generalized likelihood ratio test (GLRT). The desired input signal is modeled as a Swerling 11 target. Detection performance PD of each binary adaptive detector is evaluated as a function of the number of input channels N, the number of independent input sample vectors- per-channel used to estimate the unknown input covariance matrix, the order of the binary detector M, the desired probability of false alarm PF, and the matched filter output signal-to-noise (S/N) power ratio. Tables of detection performance are provided that will aid in specifying the optimal J for the J out of M detector and finding the number of input samples-per-channel K* necessary to achieve a 3 dB loss in optimal performance for a given PD, PF, M, N, and single observation detector configuration. Significantly, if was found that K* and J are relatively invarient of the single-observation detector configuration and the chosen PD.... Adaptive filter, Adaptive detector, Adaptive cancellation
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 21, 1992
- Accession Number
- ADA259225
Entities
People
- F. C. Lin
- Karl R. Gerlach
Organizations
- United States Naval Research Laboratory