Adaptive Radar Detection and Estimation

by Simon Haykin (Editor), Allan Steinhardt (Editor)

Adaptive processing in a radar environment is necessary due to its inherently nonstable nature. A detailed mathematical treatment of the important issues in adaptive radar detection and estimation is offered. Since much of the material presented has not appeared in book form, you'll find this work fills an important gap in the known literature. Following an overview of the subject, contributors develop model-based techniques for the detection of radar targets in the presence of clutter; discuss minimum variance beamforming techniques; consider maximum likelihood bearing estimation in beamspace for an adaptive phased array radar; present an algorithm for angle-of-arrival estimation; and describe the method of multiple windows for spectrum estimation.

496 pages, Hardcover

First published April 1, 1992

About the author

Simon Haykin was a Canadian electrical engineer noted for his pioneering work in Adaptive Signal Processing with emphasis on applications to Radar Engineering and Telecom Technology. He was a Distinguished University Professor at McMaster University in Hamilton, Ontario, Canada.