Nonstationary signal design for coexisting radar and communications systems

A possible approach to address spectrum congestion is to develop signaling schemes that allow for spectrum sharing with minimum system interference. In this paper, we consider the problem of co-existence between radar and communications systems by designing a common signaling scheme to jointly optimize the performance of both systems. In particular, we derive constraints on the parameters of linear frequency-modulated signals to minimize the interference between the two systems as well as the interference between multiple communications users. We propose a multi-objective optimization scheme for a pulse-Doppler radar system and a multiuser communications system, and we consider the trade-offs in performance under various system constraints.

[1]  D. Erricolo,et al.  Results on spectrum sharing between a radar and a communications system , 2014, 2014 International Conference on Electromagnetics in Advanced Applications (ICEAA).

[2]  A. Aubry,et al.  Cognitive radar waveform design for spectral coexistence in signal-dependent interference , 2014, 2014 IEEE Radar Conference.

[3]  Shannon D. Blunt,et al.  Analysis of symbol-design strategies for intrapulse radar-embedded communications , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Thomas Zwick,et al.  An OFDM System Concept for Joint Radar and Communications Operations , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[5]  J. R. Guerci,et al.  Joint design and operation of shared spectrum access for radar and communications , 2015, 2015 IEEE Radar Conference (RadarCon).

[6]  E.R. Brown,et al.  Ultra-Wideband Multifunctional Communications/Radar System , 2007, IEEE Transactions on Microwave Theory and Techniques.

[7]  E.R. Brown,et al.  Integrated radar and communications based on chirped spread-spectrum techniques , 2003, IEEE MTT-S International Microwave Symposium Digest, 2003.

[8]  Simon Haykin,et al.  Cognitive Dynamic Systems: Perception-action Cycle, Radar and Radio , 2012 .

[9]  Peter Rossmanith,et al.  Simulated Annealing , 2008, Taschenbuch der Algorithmen.

[10]  Richard O. Lane,et al.  Cognitive Radar: the Knowledge-Aided Fully Adaptive Approach. J. R. Guerci Artech House, 16 Sussex Street, London, SW1V 4RW, UK. 2010. 175pp. Illustrated. £66. ISBN 978-1-59693-364-4. , 2011, The Aeronautical Journal (1968).

[11]  Wei Zhang,et al.  Study on integrated radar-communication signal of OFDM-LFM based on FRFT , 2015 .

[12]  Yimin Zhang,et al.  Dual-Function Radar-Communications: Information Embedding Using Sidelobe Control and Waveform Diversity , 2016, IEEE Transactions on Signal Processing.

[13]  Hao Shen,et al.  Diversity and channel estimation using time-varying signals and time-frequency techniques , 2006, IEEE Transactions on Signal Processing.

[14]  Jonathan Schuerger,et al.  Wideband OFDM system for radar and communications , 2009, 2009 IEEE Radar Conference.

[15]  Muralidhar Rangaswamy,et al.  A novel approach for designing diversity radar waveforms that are orthogonal on both transmit and receive , 2013, 2013 IEEE Radar Conference (RadarCon13).

[16]  Defu Jiang,et al.  A novel integrated radar and communication waveform based on LFM signal , 2015, 2015 IEEE 5th International Conference on Electronics Information and Emergency Communication.

[17]  Stephen Berger Spectrum congestion - Is it a technical problem? , 2014, 2014 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM).