Robust Filtering Under Minimum Error Entropy Criterion

Summary

Adaptive filtering (AF) techniques have found extensive applications in the domain of radar signal processing. In this chapter, we commence by introducing the minimum error entropy (MEE) criterion. Subsequently, we present two exemplary AF algorithms based on MEE, aimed at enhancing the robustness of conventional AF algorithms. To effectively reduce the computational complexity associated with MEE‐based AF algorithms, we further propose the quantized MEE (QMEE) criterion‐based AF algorithm, which incorporates QMEE as a substitute for MEE in adaptive filter. We substantiate the efficacy and resilience of our algorithms through comprehensive simulations.