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Recently developed super-resolution algorithms have demonstrated performance approaching fundamental estimation-theoretic bounds. These algorithms have significant potential for applications such as vehicular situational awareness using low-cost, short-range millimeter wave radar sensors. In this paper, we show that such algorithms can approach single-sensor estimation-theoretic bounds for range and...
In this paper, the problem of fairly balancing the radar and communication performance in a dual communication and radar system is studied. To gain insight into the problem, a simple model of such a system using OFDM-style waveforms with SNR as the radar's objective and throughput as the communication's objective is explored. As a criteria for balancing the performance of both objectives, α fairness...
An essential part of cognitive radios and radars is to build situation awareness of the radio spectrum. The state of the time-space-frequency varying spectrum may be presented as spatio-temporal spectrum maps that may be used to better utilize and share spectral resources among radar and communication systems, manage interference and avoid jamming. RF measurements made using multiple sensors in distinct...
We propose a compressive radar that uses single bit quantization of the received noisy signal. The one-bit quantization is performed by a comparator with a time-varying reference level. The problem is studied through a sparse method, leading to an optimization problem which can be solved numerically. Simulation results show that the proposed method has a promising performance.
In this paper performance of a symbol-based WCP-OFDM radar estimation algorithm is studied. Particularly, benefits of using orthogonal time-frequency localized pulses rather than biorthogonal rectangular pulses (traditionally used in CP-OFDM receiver) is investigated in presence of white Gaussian noise. Numerical examples show that the former provide better dynamic range and tolerance to Doppler for...
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...
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