Biologically Inspired Methods for Array Signal Processing

Abstract

This paper focuses on the various array signal processing methods that have been inspired by biological models. It discusses the long-standing algorithmic challenges and combinatorial complexity as well as the knowledge instinct and dynamic logic of these biologically-inspired methods. It also provides examples of these methods used in GMTI tracking, slow-moving targets in SAR and UAV swarm navigation and fusion