Maximum-likelihood receiver for low-angle tracking radar. Part 2: The nonsymmetric case

A new maximum-likelihood processor is described for estimating the elevation angle of a target in the combined presence of specular multipath and receiver noise, as encountered in a low-angle tracking-radar environment. The processor makes special use of the symmetry of the incident direct and specular multipath components with respect to the normal to the receiving array. The theory of the processor is supported by both computer simulation and experimental results. The effect of deviation from perfect symmetry is also examined.

[1]  Warren White,et al.  Angular Spectra in Radar Applications , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[2]  T. Brubaker,et al.  Nonlinear Parameter Estimation , 1979 .

[3]  D. K. Barton Low-angle radar tracking , 1974 .

[4]  I. M. Jacobs,et al.  Principles of Communication Engineering , 1965 .

[5]  G. W. Lank,et al.  Angular Tracking of Two Closely Spaced Radar Targets , 1968, IEEE Transactions on Aerospace and Electronic Systems.

[6]  W.D. White,et al.  Low-Angle Radar Tracking in the Presence of Multipath , 1974, IEEE Transactions on Aerospace and Electronic Systems.

[7]  W.B. Gordon,et al.  Bounds on Elevation Error Estimates of a Target in Multipath , 1979, IEEE Transactions on Aerospace and Electronic Systems.

[8]  James P. Reilly,et al.  Nonlinear Array Processing Techniques with Applications to Correlated Multipath , 1981 .

[9]  M. Skolnik,et al.  Introduction to Radar Systems , 2021, Advances in Adaptive Radar Detection and Range Estimation.

[10]  W. Gabriel Spectral analysis and adaptive array superresolution techniques , 1980, Proceedings of the IEEE.

[11]  Peyton Z. Peebles Multipath Angle Error Reduction Using Multiple-Target Methods , 1971, IEEE Transactions on Aerospace and Electronic Systems.

[12]  N. Draper,et al.  Applied Regression Analysis , 1966 .