Performance Study of a Two-Dimensional CFAR Signal Processor.
Abstract
State-of-the-art integrated circuit technology has made it feasible to implement complicated radar signal processors. One candidate for use in radar systems with heavy ground clutter and weather environments is a two-dimensional (2-D) CFAR processor with clutter map. Previous work has established an analytical capability for determining processor performance. In this report, the dependence of processor performance on moving target indicator structures (i.e., various N-tap finite impulse response filters), moving target indicator implementation (i.e., moving window or fixed window methods) and processor window function (i.e., Kaiser, Taylor, Dolph-Chebyshev or rectangular) is discussed. It is shown that processor performance is almost independent of moving target indicator structure but dependent on moving target indicator implementation. It is also shown that processor performance is dependent on the window function utilized but that finding the 'optimum' window function requires knowledge of clutter characteristics. The significance of this effect has been to establish a means by which processor performance can be determined for various processor configurations and to present results which provide a general understanding of the performance effect of various processor elements. One important finding was the aliasing problem created by a fixed window moving target indicator when followed by a fast Fourier transform. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 26, 1979
- Accession Number
- ADA074379
Entities
People
- Jerry D. Moore
- Neal B. Lawrence
Organizations
- Computer Sciences Corporation