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Parameter estimation in wireless sensor networks (WSN) using encrypted non-binary quantized data is studied. In a WSN, sensors transmit their observations to a fusion center through a wireless medium where the observations are susceptible to unauthorized eavesdropping. Encryption approaches for WSNs with fixed threshold binary quantization were previously explored. However, fixed threshold binary...
Multiple-input multiple-output (MIMO) radar can achieve improved localization performance by employing a coherent processing approach with proper antenna positioning. Different from the noncoherent counterpart, coherent processing entails the challenge of ensuring phase coherence of the carrier signals from different distributed radar elements. In this paper, we propose a broadcast consensus based...
In this paper, we consider the problem of Neyman-Pearson detection of fluctuating narrowband radar signals using wireless sensor networks (WSNs), and we are interested in finding some approach which can optimize the signal detection performance jointly with the energy expenditure. Towards this goal, we propose a distributed and energy-efficient scheduling scheme to coordinate the communications between...
In this paper, tracking performance of MIMO radar systems with distributed antennas and non-coherent processing is studied. The Bayesian Cramer-Rao bound (BCRB) on target location and velocity tracking is derived and the effect of the radars geometric layout and the target location on tracking accuracies is analyzed. The impact of the number of radars on the estimation errors is examined and the contribution...
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