Multiplexed Chaotic Waveforms for Joint Multistatic Radar and Communication (RadComm) Systems

In this work, we take advantage of the nonlinear characteristics of chaotic systems for joint multistatic radar and communication systems (RadComm). Firstly, we consider N 2-dimensional chaotic maps whose control parameters are varied to generate a family of chaotic signals. Each of these chaotic signals is filtered and encoded with antipodal bits. These chaotic signals exhibit noise-like properties, so they decorrelate quickly with adjacent samples. Consequently, the encoded chaotic signals are superposed to generate a multiplexed signal 's(n)' used for multistatic RadComm transmission. At the communication receiver, we use the same N chaotic maps to generate the chaotic signals that are further filtered. Each filtered chaotic signal correlates with the received multiplexed signal to decode the information. Using bit-error rates (BER), we show that the proposed communication approach is of high quality. For multistatic configuration, we assume the number of radar nodes is ≤ N. Each node has one chaotic map that can generate a reference chaotic signal. This reference signal is matched with the echo reflected by the target, which is a delayed and Doppler-shifted version of s(n). Using a matched-filtered bank, we can obtain a high-resolution image of a target at each node. Since N ≥ 1, we can view the target from multiple viewpoints, extracting additional information from various dimensions that may not be possible with joint monostatic RadComm or bistatic RadComm setups.