An efficient hybrid adaptive pulse compression approach to radar detection

Abstract

The adaptive pulse compression (APC) technique has been proposed in the literature of pulse compression radar for superior performance for polyphase coded signals in comparison to conventional matched filter (MF) and mismatched filter techniques. However, its performance degrades in case of binary phase coded signals. The recently reported hybrid MF and radial function (MF-RF) model performs well only for the single target case. Thus there is a need to develop a model which would perform efficiently both for single and multi-targets conditions for binary phase coded signals. To achieve this objective a hybrid model (APC-RF) combining the APC and radial function is developed. The performance of the new scheme has been evaluated under different noise and Doppler shift conditions. The results of the simulation study demonstrate superior performance of the proposed APC-RF model over several pulse compression techniques such as MF, APC and MF-RF.Index Terms-pulse compression; matched filter; adaptive pulse compression; minimum mean square error.

Range Sidelobe Iterative Suppression Algorithm for Extended Target with Non-Grid Multiple Scattering Points

“…Based on the above analysis, an iterative suppression algorithm for range sidelobe of the targets with non-grid multiple scattering points is considered in this paper. In our method, an improved MUSIC algorithm is used to estimate the location of multiple scattering points by decoherence and super-resolution [24][25][26][27], and an MMSE filter for multiple scattering points is derived to realize the suppression of high sidelobe. The innovation lies in that the MUSIC algorithm originally used for angle measurement can estimate the accurate position of the non-grid targets by constructing the subdivided steering vector after adding a step of dechirp [28][29][30].…”