A cognitive diversity framework for radar target classification

TL;DR

This paper introduces a cognitive radar target classification framework utilizing angular diversity to improve recognition performance, benchmarking it against traditional methods and highlighting its extensibility to multiple diversity strategies.

Contribution

It presents a novel cognitive radar design leveraging angular diversity for enhanced target recognition, a significant advancement over existing classification schemes.

Findings

Improved classification accuracy with angular diversity

Benchmarking shows superior performance over conventional methods

Framework is adaptable to multiple diversity strategies

Abstract

Classification of targets by radar has proved to be notoriously difficult with the best systems still yet to attain sufficiently high levels of performance and reliability. In the current contribution we explore a new design of radar based target recognition, where angular diversity is used in a cognitive manner to attain better performance. Performance is bench- marked against conventional classification schemes. The proposed scheme can easily be extended to cognitive target recognition based on multiple diversity strategies.