SSPARC: Limits on Adaptive Cooperative Communications and Radar

Project: Research project

Project Details


We propose developing a set of bounds and performance estimates that provide insight to limiting performance under various constraints for cooperating radar and communications systems. These bounds include information and estimation bounds, and the interactions between them. The standard model for the interaction between radars and communications systems is that each system raises the effective noise floor of the other system. Typically, these systems are isolated spectrally. Here we consider major modifications to that model. First, we consider approaches in which the radar waveforms are adaptively optimized to minimize the adverse interactions between the systems. This waveform optimization is coupled with a track before detect analysis approach. Second, we enable the radar to demodulate and decode the communications signal jointly with estimating its radar channel. Furthermore, we consider the possibility that all communications signals are in fact illumination signals for the radar. Rather than have radar and communications system performance degraded, the performance of both systems is potentially enhanced by the interaction with the other system. In its most general form, the joint radar-communication system becomes a large heterogenous multipleinput multiple-output (MIMO) radar and simultaneously a heterogenous communication network. The effort comprise to significant tasks. Each task is associated with the identified lead. Each task is to be executed with 14 months of receipt of funds. Task 1. Multiuser Detection Radar (D. Bliss) Objective: Develop tools for investigating a joint radar and communication system that pursue both estimation and communication goals simultaneously with their waveforms. Approach: Develop information theoretic and estimation bounds to study performance of dual use systems. Construct limited set of system topologies to exercise performance bounds, and identify those topologies that have the greatest benefit of multiuser detection radar approaches. Develop limited simulation to verify bounds. Task 2. Waveform Optimization (A. Papandreou-Suppappola) Objective: Develop waveforms that minimize adverse interactions between radar and communications systems. Approach: Develop bounds and simulations based on a waveform optimization approach. We propose to integrate a radar track before detect with a dynamic adaptive waveform configuration algorithm that will optimally select and configure linear and nonlinear waveforms. The waveforms can be chosen from a library of generalized chirps to minimize the predicted mean squared errors of target state estimation. We employ nonlocal estimation bounds, such as Barankin bounds, to address potential concerns of near ambiguities introduced target parameter estimation caused by nonlinear chirps.
Effective start/end date9/27/136/26/16


  • DOD: Defense Advanced Research Projects Agency (DARPA): $518,984.00


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