Title :
Low-angle tracking using a multifrequency sampled aperture radar
Author :
Lo, Titus ; Litva, John
Author_Institution :
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
fDate :
9/1/1991 12:00:00 AM
Abstract :
The improvements that can be achieved in low-angle radar by using a sampled aperture radar (SAMPAR) and a maximum likelihood (ML) algorithm are discussed. The SAMPAR system described is unique in that it has a wide-ranging multifrequency capability. The ML technique is also unique because its estimation is based on the use of a highly refined signal model. It is shown, by using both simulated data and real data, that this combination, i.e., a SAMPAR system and the modified ML algorithm, provides a multiple signal resolution that exceeds any reported in the open literature. The measured data used in this study were recorded using a 32-element sampled aperture antenna on an over-water path
Keywords :
radar theory; signal processing; tracking; SAMPAR; low angle tracking; low-angle radar; maximum likelihood algorithm; multifrequency sampled aperture radar; multiple signal resolution; over-water path; sampled aperture antenna; sampled aperture radar; signal model; simulated data; Aperture antennas; Frequency; Maximum likelihood estimation; Multiple signal classification; Radar antennas; Radar tracking; Signal processing algorithms; Signal resolution; Systems engineering and theory; Target tracking;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on