Abstract:Thefocus of this talk is on co-existence between a communication system and apulsed radar sharing the same bandwidth. Based on the fact that theinterference generated by the radar onto the communication receiver isintermittent and depends on the density of scattering objects (such as, e.g., targets),we first show that the communication system is equivalent to a set ofindependent parallel channels, whereby pre-coding on each channel can beintroduced as a new degree of freedom. We introduce a new figure of merit,named the compound rate, which is a convex combination of rates with andwithout interference, to be optimized under constraints concerning thesignal-to-interference-plus-noise ratio (including signal-dependentinterference due to clutter) experienced by the radar and obviously the powers emittedby the two systems: the degrees of freedom are the radar waveform and theaforementioned encoding matrix for the communication symbols. We provideclosed-form solutions for the optimum transmit policies for both systems undertwo basic models for the scattering produced by the radar onto the communicationreceiver, and account for possible correlation of the signal-independentfraction of the interference impinging on the radar. We also discuss theextension to the overlaid system of MIMO radar and MIMO communication.
Bio:Xiaodong Wang received the Ph.D degree in Electrical Engineering from PrincetonUniversity. He is a Professor of Electrical Engineering at Columbia Universityin New York.Dr. Wang’s researchinterests fall in the general areas of signal processing and communications,and has published extensively in these areas. Among his publications is a bookentitled “Wireless Communication Systems: Advanced Techniques for SignalReception”, published by Prentice Hall in 2003. His current research interestsinclude wireless communications, statistical signal processing, and genomicsignal processing. Dr. Wang received the 1999 NSF CAREER Award, the 2001 IEEECommunications Society and Information Theory Society Joint Paper Award, andthe 2011 IEEE Communication Society Award for Outstanding Paper on NewCommunication Topics. He has served as an Associate Editor for the IEEETransactions on Communications, the IEEE Transactions on WirelessCommunications, the IEEE Transactions on Signal Processing, and the IEEETransactions on Information Theory. He is a Fellow of the IEEE and listed as anISI Highly-cited Author.
