Chaos-Based Radars for Automotive Applications: Theoretical Issues and Numerical Simulation

Abstract

This correspondence focuses on a possible application of chaotic signals as an alternative to more conventional spreading schemes in direct-sequence spread spectrum (DS-SS) automotive radars, the latter being a key component for future road safety systems. Due to their very good correlation properties, chaotic sequences are potentially able to outperform previous options, like Gold codes, with regard to the detection probability and the number of available sequences. Numerical examples are given, in some typical scenarios and under severe operation conditions, due to the presence of interfering radars.