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A fundamental goal of cognitive radar is to sense, learn and adapt (SLA) to a complex environment. A further goal of cognitive fully adaptive radar (CoFAR) is to jointly optimize the adaptive transmit and receive functions. This type of emerging radar technology is anticipated to play a key part in the future of autonomous sensors and systems. CoFAR systems present a number of unique testing challenges...
We take an algorithmic approach to a well-known communication channel problem and develop several algorithms for solving it. Specifically, we develop power control algorithms for sensor networks with collaborative relaying under bandwidth constraints, via quantization of finite rate (bandwidth limited) feedback channels. We first consider the power allocation problem under collaborative relaying where...
This paper presents experimental results from a cognitive radar system. In the cognitive approach used, radar parameters are constantly self-monitored and self-adjusted so that radar performance remains at a level specified by the user. This is in stark contrast to traditional radar where parameters are fixed and the performance varies according to the encountered scenario. The experiments were conducted...
Consider a parallel channel with M independent flat-fading subchannels. There exists a smart jammer which has possession of a copy of perfect channel state information (CSI) measured and sent back by a receiver to its transmitter. Under this model, a class of two-person zero-sum games is investigated where either achievable mutual information rate or Chernoff bound is taken as the underlying pay-off...
The Hybrid MIMO Phased Array Radar, or HMPAR, is a notional concept for a multisensor radar architecture that combines elements of traditional phased-array radar with the emerging technology of Multiple-Input Multiple Output (MIMO) radar. A HMPAR comprises a large number, MP, of T/R elements, organized into M subarrays of P elements each. Within each subarray, passive elementlevel phase shifting is...
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