Supervised Reciprocal Filter for OFDM radar signal processing

In this paper, we address the problem of range-Doppler map evaluation in continuous wave radar exploiting OFDM signals. This stage is usually implemented by resorting to a suboptimal batches algorithm and typical choice fragment signal with length equal symbol apply at each batch an appropriate range compression strategy: typically, either Matched Filter (MF) or Reciprocal (RF). The former provides best performance against noise-limited scenarios, whereas latter clutter-limited thanks its high Peak SideLobe Level (PSL). Using “OFDM fragmentation” requires synchronization sets constraints on coherent processing chain; moreover, show that it Signal-to-Noise Ratio (SNR) loss both when using MF RF. Therefore, investigate case “non-OFDM fragmentation”, which does not require avoids setting chain. Specifically, lengths longer than single can potentially reduce SNR long ranges. We find effective for MF, but causes even higher direct application RF filter, still low level sidelobes. Aiming preserving potential benefits over propose some modified versions non-OFDM fragmentation case, are shown offer trade-off between losses sidelobes control. effectiveness proposed approaches demonstrated providing theoretical prediction expressions simulated analyses. To purpose, study considered passive DVB-T transmissions