Radar and Communication Spectral Coexistence in Range-Dependent Interference
| Autor: | Marco Lops, Luca Venturino, Junhui Qian, Xiaodong Wang |
|---|---|
| Přispěvatelé: | Qian, J., Venturino, L., Lops, M., Wang, X. |
| Rok vydání: | 2021 |
| Předmět: |
non-homogeneous interference
Computer science majorization minimization alternating direction method of multipliers MIMO radar-communication convergence Shared spectrum access Mutual information Communications system Noise (electronics) law.invention Signal-to-noise ratio alternating direction method of multiplier Interference (communication) law Signal Processing Clutter Electrical and Electronic Engineering Radar Algorithm Computer Science::Information Theory |
| Zdroj: | IEEE Transactions on Signal Processing. 69:5891-5906 |
| ISSN: | 1941-0476 1053-587X |
| DOI: | 10.1109/tsp.2021.3121090 |
| Popis: | In this paper, we investigate the spectral coexistence between a multiple-input multiple-output (MIMO) communication system and a MIMO radar which inspects multiple range gates with non-homogeneous interference. We consider two formulations for joint resource allocation, aiming at minimizing the inverse of the harmonic mean of the signal-to-interference-plus noise ratio (SINR) across the range gates inspected by the radar under a constraint on the communication mutual information or at minimizing a properly-weighted difference between the inverse of the harmonic mean of the SINR's and the mutual information, respectively. The degrees of freedom for system design are the radar probing signal, the radar receive filters at each range gate, and the communication codebook, under the usual constraints on the transmit power and on the similarity of the radar waveform to a reference signal. We derive a sub-optimal procedure that allows to decompose the non-convex optimizations at the hand into a sequence of simpler sub-problems. Numerical examples are provided to assess the merits of the proposed solutions. |
| Databáze: | OpenAIRE |
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