Abstract
In radar signal processing, pulse compression by the matched filtering can maximize the output signal-to-noise ratio (SNR). However, range sidelobes are relatively high in the pulse compression output. In weather radar, since the reflectivity of spatially distributed weather target varies dramatically, the sidelobes of large scatterers may mask the adjacent small scatterers. Thus, ultra-low sidelobes are desired. An effective way to control the range sidelobes is the adaptive pulse compression (APC) based on the reiterative minimum mean square error (RMMSE). In this paper, we focus on the reduceddimension fast APC (FAPC) algorithm. The FAPC algorithm estimates the range profile by reiteration. It has much lower computational complexity than APC while maintaining the performance close to that of full-dimensional adaptive processing. Furthermore, the FAPC has good Doppler tolerance, which makes it a preferable choice for weather target detection.
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