Range and azimuth estimation using raw data in DSP-based radar system

In the paper a problem of estimation of target position in a modern DSP-based radar system is considered. The processes of target detection and estimation are separated. Raw radar data supplied to the detection block are buffered in large RAM memory and then partially post-processed by the estimation block in areas nearby detected targets. Such an approach allows for more elaborate estimation algorithms than using joint detection and estimation. We have adopted curve-fitting procedures for both azimuth and range estimation. Simulation results prove good performance even for small signal to noise ratios.