Comparison of ZF and MF filters through PSLR and ISLR assessment in automotive OFDM radar

Many filtering strategies can be applied to estimate target position along the range profile in orthogonal frequency-division multiplexing radar. Chief among these filters are the matched filter (MF) and the zero forcing (ZF) method. For each technique, this paper compares the impact on the peak to side lobe ratio (PSLR) and the integrated side lobe ratio (ISLR). The results show that ZF scores higher than MF with respect to PSLR and ISLR in low-noise environments.