Joint Design of Surveillance Radar and MIMO Communication in Cluttered Environments
Autor: | Emanuele Grossi, Luca Venturino, Marco Lops |
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Přispěvatelé: | Grossi, E., Lops, M., Venturino, L. |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Signal Processing (eess.SP)
FOS: Computer and information sciences joint system design Computer science Computer Science - Information Theory MIMO communications Real-time computing mutual information radar-communications convergence shared spectrum access for radar and communications (SSPARC) Spectral coexistence surveillance radars 02 engineering and technology Degrees of freedom (mechanics) Communications system Interference (wave propagation) law.invention law FOS: Electrical engineering electronic engineering information engineering 0202 electrical engineering electronic engineering information engineering MIMO communication Electrical Engineering and Systems Science - Signal Processing Electrical and Electronic Engineering Radar Block (data storage) Information Theory (cs.IT) Codebook 020206 networking & telecommunications Pulse compression Signal Processing Secondary surveillance radar |
Popis: | In this study, we consider a spectrum sharing architecture, wherein a multiple-input multiple-output communication system cooperatively coexists with a surveillance radar. The degrees of freedom for system design are the transmit powers of both systems, the receive linear filters used for pulse compression and interference mitigation at the radar receiver, and the space-time communication codebook. The design criterion is the maximization of the mutual information between the input and output symbols of the communication system, subject to constraints aimed at safeguarding the radar performance. Unlike previous studies, we do not require any time-synchronization between the two systems, and we guarantee the radar performance on all of the range-azimuth cells of the patrolled region under signal-dependent (endogenous) and signal-independent (exogenous) interference. This leads to a non-convex problem, and an approximate solution is thus introduced using a block coordinate ascent method. A thorough analysis is provided to show the merits of the proposed approach and emphasize the inherent tradeoff among the achievable mutual information, the density of scatterers in the environment, and the number of protected radar cells. Comment: Submitted to IEEE Transaction on Signal Processing on June 24, 2019 |
Databáze: | OpenAIRE |
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