Abstract

The system architecture for an adaptive multiple input multiple output (MIMO) radar-communication transceiver is proposed. A waveform design approach for communication data embedding into MIMO radar pulse using M-ary position phase shift keying (MPPSK) waveforms is introduced. A waveform optimization algorithm for the adaptive system is presented. The algorithm aims to improve the target detection performance by maximizing the relative entropy (RE) between the distributions under existence and absence of the target, and minimizing the mutual information (MI) between the current received signals and the estimated signals in the next time instant. The proposed system adapts its MPPSK modulated inter-pulse duration to suit the time-varying environment. With subsequent iterations of the algorithm, simulation results show an improvement in target impulse response (TIR) estimation and target detection probability. Meanwhile, the system is able to transmit data of several Mbps with low symbol error rates.

Highlights

  • We propose a composite waveform design scheme for M-ary position phase shift keying (MPPSK) modulated communication symbols embedded in a multiple input multiple output (MIMO) radar pulse

  • We develop a new scheme for communication data embedding into adaptive MIMO radar; We present a novel framework for an adaptive MIMO radar-communication system, which benefits from the principle of cognition radar; We design a novel algorithm for waveform optimization in the adaptive distributed MIMO

  • As described in the previous sections, the orthogonality between the proposed systems is maintained for radar waveform optimization purposes

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Summary

Joint Radar-Communications Transceivers

Radars with multiple functions have attracted substantial interest in recent years and sparked a number of research initiatives [1,2,3,4]. One category is based on the multiplexing technique, including space division multiplexing, time division multiplexing (TDM), frequency division multiplexing (FDM), and code division multiplexing [6,7]. These kinds of approaches have a common defect in that target detection and digital communication cannot be operated simultaneously in some domains. Aubry considered waveform design in a spectrally crowded environment where some frequency bands are shared among the radar and communication system [8]. Spectrum sharing between multiple input multiple output (MIMO) radars and communication system was initially considered in [12], where the radar interference to the communication system was eliminated by projecting the radar waveforms onto the null space of the interference channel. The interference generated by the communication system to the radar was not considered in [13]

Adaptive MIMO Radar Waveform
Adaptive MIMO Radar-Communication Waveform Design
System Architecture and Network
Design
Waveform Design Based on Relative Entropy
Parameter Estimation
MI Minimization
Simulation Results
Target Figure
Communication SER
Conclusions
Full Text
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