Novel System Architecture and Waveform Design for Cognitive Radar Radio Networks

• Published in: IEEE transactions on vehicular technology 2012-10, Vol.61 (8), p.3630-3642
• Main Authors: Nijsure, Y., Yifan Chen, Boussakta, S., Chau Yuen, Yong Huat Chew, Zhiguo Ding
• Format: Article
• Language: English
• Subjects: Applied sciences; Bit error rate; Cognitive radar radio (CRR) network; Delay; Exact sciences and technology; Information, signal and communications theory; joint communication-radar waveform design; Joints; Modulation, demodulation; mutual information (MI); Radar cross section; Radiocommunication specific techniques; Radiocommunications; Radiolocalization and radionavigation; Signal and communications theory; Systems, networks and services of telecommunications; target signature extraction; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); Ultra wideband radar; ultrawideband (UWB); Vectors
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2012.2203328

A novel approach to combining communication and radar functionalities in a single waveform design for cognitive radar radio (CRR) networks is proposed. This approach aims at extracting the target parameters from the radar scene, as well as facilitating high-data-rate communications between CRR nodes, by adopting a single waveform optimization solution. The system design technique addresses the coexisting communication and radar detection problems in mission-critical services, where there is a need of integrating the knowledge about the target scene gained from distinct radar entities functioning in tandem with each other. High spatial resolution and immunity to multipath fading make ultrawideband (UWB) signals an appropriate choice for such applications. The proposed solution is achieved by applying the mutual-information-based strategy to design the sequence of UWB transmission pulses and embed into them the communication data with the pulse position modulation scheme. With subsequent iterations of the algorithm, simulation results demonstrate an improvement in extraction of the parameters from the radar scene, such as target position and impulse response, while still maintaining high-throughput radio links with low bit error rates between CRR nodes.