This paper firstly describes the necessary of radar data compression and the advantage and defection of the existing data compression algorithms, then briefly introduces the data compression schemes based on the wavelet zero-tree. Considering the speciality and characterization of the radar data compression, we give a novation of the established compression algorithms which based wavelet zero-tree and evaluate the efficiency of our methods through the simulation. The results accords with our expectancy and fulfill the application on engineering.
A novel method to estimate DOA of coherent signals impinging on a uniform circular array(UCA) is presented in this paper. A virtual uniform linear array (VULA) is first derived by using spatial DFT technique, transforming the UCA from element space to phase mode space to obtain the properties of ordinary ULA, and then the well known spatial smoothing technique is applied to the VULA so that the lost rank of covariance matrix due to signal coherence can be retrieved. This method makes it feasible to use the simple MUSIC algorithm to estimate DOA of coherent signals impinging on a UCA without heavy computation burden. Simulation results strongly verify the effectiveness of the algorithm.
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