A new space-time adaptive processing algorithm is proposed for clutter suppression in phased array radar systems. In contrast to the commonly used normalized least mean square (NLMS) algorithm which uses the second order moments of the data for adaptation, the proposed method uses the lower order moments of the data to adapt the weight coefficients. The normalization is also performed based on the data sample dispersion rather than the variance. Processing results using simulated and measured data show that the proposed algorithm converges faster than the NLMS algorithms in Gaussian and non-Gaussian clutter environments. It also provides better clutter suppression than the NLMS algorithm under heavy-tailed, impulsive, non-Gaussian environments. It in turn improves the target detection performance.
Y. R. Zheng et al., "A Normalized Fractionally Lower-Order Moment Algorithm for Space-Time Adaptive Processing," Proceedings of the IEEE Military Communications Conference, 2007. MILCOM 2007, Institute of Electrical and Electronics Engineers (IEEE), Jan 2007.
The definitive version is available at http://dx.doi.org/10.1109/MILCOM.2007.4454814
IEEE Military Communications Conference, 2007. MILCOM 2007
Electrical and Computer Engineering
United States. Air Force. Office of Scientific Research
United States. Army Research Office
Keywords and Phrases
Clutter Suppression; Phased Array Radar Systems; Gaussian
Article - Conference proceedings
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