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Signal Processing for Temporal Spectrum Sharing in a Multi-Radar Environment

Authors :
Francisco Paisana
Luiz A. DaSilva
Nicholas J. Kaminski
Nicola Marchetti
Source :
IEEE Transactions on Cognitive Communications and Networking. 3:123-137
Publication Year :
2017
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2017.

Abstract

Regulators, aware of the significant underutilization of spectrum reserved for radar operation, are starting to open these bands for sharing with commercial services. In this paper, we provide the signal processing techniques necessary to apply temporal sharing to reduce radar exclusion zones and increase spectral efficiency. Our approach directly extends to the fairly common scenario of multiple radars operating at relatively close distance in the same frequency and allows a secondary user to transmit without exceeding a stipulated level of interference at any radar. We require only that radars behave periodically; our secondary users apply adaptive sensing to track radar behavior in real-time without a priori information. To accomplish this, we introduce a pulse deinterleaving mechanism to separate multiple radar emissions in real-time, with no batch or offline processing. We show that our approach to temporal sharing is applicable to static or low mobility sharing scenarios, where the interference channel displays quasi-periodic features.

Details

ISSN :
23327731
Volume :
3
Database :
OpenAIRE
Journal :
IEEE Transactions on Cognitive Communications and Networking
Accession number :
edsair.doi...........eb18e35105934ddb124474404da78396