Abstract.A matrix-based approach for implementation of deterministic ray tracing is suggested and presented in this paper. The frequency-independent feature of the ray tracing in addition to the matrix-based implementation results in a reliable fast simulator for understanding the behavior of the electromagnetic fields in the vicinity of a collision avoidance radar. Results of this technique are in a good agreement with the results from method of moments integral equation solutions while the computations are about 100 times faster.
Compressed sensing algorithms are studied for the purpose of detecting targets and estimating their motion states in a collision warning radar system which consists of 4 continuouswave (CW) modules operating in the industrial, scientific, and medical (ISM) frequency band around 24 GHz. A method for sparse representation and a discretization adjusted to the problem are investigated. Also, the capabilities of various estimation algorithms belonging to the two groups of basis and greedy pursuits are compared considering the fine discretization in the six dimensional solution space.Index Terms-compressed sensing, anti-collision radar, moving target parameters estimation, incoherent radar sensor network.
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