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Found 6 papers, 0 papers with code
Compressed Sensing Radar Detectors based on Weighted LASSO
Based on this estimator, we construct a detector, termed the debiased weighted LASSO detector (DWLD), for CS radar systems and prove its advantages.
Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture
To this end, we exploit the orthogonality of the signals of partly calibrated arrays.
Compressed sensing radar detectors under the row-orthogonal design model: a statistical mechanics perspective
Such detector can analytically provide the threshold according to given false alarm rate, which is not possible with the conventional CS detector, and the detection performance is proved to be better than that of the traditional LASSO detector.
Designing the Waveform Bandwidth and Time Duration of Automotive Radars for Better Collision Warning Performance
Then, the waveform parameters are designed with a limit on the TBP to optimize the system performance.
Decentralized Automotive Radar Spectrum Allocation to Avoid Mutual Interference Using Reinforcement Learning
In this paper, a decentralized spectrum allocation approach is presented to avoid mutual interference among automotive radars.
Cognitive Radar Using Reinforcement Learning in Automotive Applications
The concept of cognitive radar (CR) enables radar systems to achieve intelligent adaption to a changeable environment with feedback facility from receiver to transmitter.
