Abstract: To cope with the time-varying and Doppler broadened clutter in air borne phasedar rayradars, it is required that the signal processing be adaptive and two-dimensional ( spatia l and temporal) . However, the optimum adaptive spatial-tempor alprocessing is hard to be realized r ealtimelybecause of the large amount of computation it requires. From the idea of approximating theclutter process by using a multi-channel Auto-Regressive (AR) process, a linear prediction approach is proposed to realize adaptive spatial-tempor alprocessing of airborne adaptive array signals.The research shows that the clutter process can be well approximated by a low-order ARprocess,and a low-order linear prediction receiver achieves a suboptimum performance at a very low computational expense. Besides, the receiver has additional degree of freedom to cope with other colored noises and interference. In consideration of the many advantages of the linear prediction receiver in both algorithm and realization, it has a good prospect in the application of airborne adaptive array signal processing.

Key words: signal processing, phasedar rays-radar, linear prediction, adaptive filters