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Optimal Detection in Barrage-Jammed Single-Input Double-Output Systems | IEEE Conference Publication | IEEE Xplore

Optimal Detection in Barrage-Jammed Single-Input Double-Output Systems

Publisher: IEEE

Abstract:

We derive the likelihood functions and the maximum likelihood (ML) detectors for single-input double-output (SIDO) communication systems. The received signals are contami...View more

Abstract:

We derive the likelihood functions and the maximum likelihood (ML) detectors for single-input double-output (SIDO) communication systems. The received signals are contaminated by a Gaussian noise and a non-Gaussian signal induced by the Gaussian transmissions of a proactive continuous single-antenna jammer over an unknown complex Gaussian vector channel. We consider cases in which either full channel distribution information (CDI), or partial CDI about the transmitter channel and the jammer channel is available at the receiver. The vector channels considered herein interweave the components of the received signal vector, rendering the derivation of the likelihood function a daunting task for more than two receive antennas. The interweaving of the received signal components prevents the optimal ML detector for unit-norm constellations from reducing to the corresponding Gaussian approximation based detector. This contrasts with the scalar channel case, wherein the two detectors are equivalent for unit-norm constellations. Simulation results show that the difference between the two detectors can be significant, especially when the transmitter and jammer channels have substantial line-of-sight components.
Date of Conference: 21-24 August 2024
Date Added to IEEE Xplore: 01 October 2024
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ISSN Information:

Publisher: IEEE
Conference Location: Victoria, BC, Canada

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