A maximum likelihood beamspace processor for improved search and track

The authors describe a two-stage digital beamforming architecture for use in radars. The first stage implements a fully adaptive array of subarrays while the second stage implements a fully adaptive array of beams. Maximum likelihood processing is used in the second stage to estimate target amplitude and angle of arrival. The new architecture supports improved search and track performance compared to traditional systems that use a single receive beam and monopulse processing to measure angle.

[1]  E. J. Kelly,et al.  The Detection of Radar Echoes in Noise. I , 1960 .

[2]  Harry Urkowitz,et al.  The Accuracy of Maximum Likelihood Angle Estimates in Radar and Sonar , 1964, IEEE Transactions on Military Electronics.

[3]  D. K. Barton,et al.  Handbook of radar measurement , 1969 .

[4]  Robert N. McDonough,et al.  Detection of signals in noise , 1971 .

[5]  L.E. Brennan,et al.  Theory of Adaptive Radar , 1973, IEEE Transactions on Aerospace and Electronic Systems.

[6]  R.C. Davis,et al.  Angle Estimation with Adaptive Arrays in External Noise Fields , 1976, IEEE Transactions on Aerospace and Electronic Systems.

[7]  S. Applebaum,et al.  Adaptive arrays , 1976 .

[8]  B. Carlson Covariance matrix estimation errors and diagonal loading in adaptive arrays , 1988 .

[9]  James Ward,et al.  Source localization using adaptive subspace beamformer outputs , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.