Generation of Ultrawideband Radar Waveforms Based on Chaos Theory

Abstract

Radar systems have been used extensively over the past decade for variety of applications and in a multitude of configurations. Radar engineers wishing to improve the resolution of resultant imagery cannot evade the underlying principle of inverse relationship between a radar signals bandwidth and a minimum featured dimension in range co-ordinate. When it is desired not only to detect but also to identify the target as belonging to a certain category, high resolution of obtained radar images is of much importance. Conventionally UltraWideBand (UWB) radars were based on generation and coherent reception e.g. via matched filtering and coherent filtering of ultrashort pulses e.g. Gaussian pulses. This approach provides high resolution if the pulse duration is short enough. However it has the advantage of low spectral efficiency and ease of signal repeatability which can make these imaging systems susceptible to certain types of electronic counter measures (ECM). This paper discusses the generation of pseudo noise radar waveform using chaos theory but which has a better chance of combating electronic counter measures and high spectral efficiency. Simulations are presented and discussion on their suitability as radar waveforms.