Cognitive radar is a new framework of radar system proposed by Simon Haykin recently. Adaptive waveform selection is an important problem of intelligent transmitter in cognitive radar. In this paper, the problem of adaptive waveform selection is modeled as stochastic dynamic programming model. Then Q-learning is used to solve it. Q-learning can solve the problems that we do not know the explici...

The least-mean-square (LMS) adaptive filter is applied to suppress narrow-band radiofrequency interference (R.FI) in wideband synthetic aperture radar (SAR.) signals. Simulation is used to show the working principles of the adaptive filter and to obtain the optimum filter's parameters. The algorithm is tested with P-band synthetic aperture radar (SAR.) data collected by the NASA/JPL airborne SA...

ADAPTIVE TARGET DETECTION IN RADAR IMAGING

81 AIJ Electrical & Electronics Engineering, Vol 48, No. 2, Fall 2016 Please cite this article using: Fathi, M., Ghahramani, N., Ashtiani, M. A. S., Mohammadi, A., and Fallah, M., 2016. “Adaptive Fusion of Inertial Navigation System and Tracking Radar Data”. Amirkabir International Journal of Electrical and Electronics Engineering, 48(2), pp. 81–91. DOI: 10.22060/eej.2016.818 URL: http://eej.au...

The convex optimization-based descriptive experiment design regularization (DEDR) method is aggregated with the neural network (NN)-adapted variational analysis (VA) approach for adaptive high-resolution sensing into a unified DEDR -VA-NN framework that puts in a single optimization frame high-resolution radar/SAR image formation in uncertain operational scenarios, adaptive despeckling and dyna...

The convex optimization-based descriptive experiment design regularization (DEDR) method is aggregated with the variational analysis (VA) approach for adaptive high-resolution sensing into a unified DEDR-VA framework that puts in a single optimization frame highresolution radar/SAR image formation in uncertain operational scenarios, adaptive despeckling and dynamic scene image enhancement for a...

In continuous wave (CW) radar and high pulse repetition frequency pulse-Doppler (HPRF-PD) radar, the interference plus noise sample snapshots are hard to be obtained. The desired signal in the received snapshots makes the LCMV-based adaptive monopulse algorithm sensitive to pattern look direction error. A linearly constrained subarray robust adaptive monopulse algorithm based on main lobe maint...

Cognitive radar is a new framework of radar system proposed by Simon Haykin recently. Adaptive waveform selection is an important problem of intelligent transmitter in cognitive radar. In this paper, the problem of adaptive waveform selection is modeled as stochastic dynamic programming model. Then backward dynamic programming, temporal difference learning and Q-learning are used to solve this ...

An adaptive-update-rate target-tracking algorithm is indeed a developed version of constant-update-rate tracking algorithms. The update rate is closely related with the level of target maneuvering and the required quality of tracking performance— the shorter the time intervals between two successive updates, the better the radar resources are made use of. Considering the needs of the phased-arr...