TY - GEN
T1 - Multiple-Channel Multiple-User Receiver for Joint Radar and Communications Systems
AU - Bliss, Daniel
N1 - Funding Information:
This work was funded in part by the Office of Naval Research. The views expressed are those of the author and do not reflect the official policy or position of the U.S. Navy or the U.S. Government.
Publisher Copyright:
© 2018 IEEE.
PY - 2019/2/19
Y1 - 2019/2/19
N2 - We employ both adaptive spatial and temporal degrees of freedom to separate multiple signals impinging upon an RF convergence antenna-array receiver. Motivated by the maximum-likelihood methodology, we construct a multiple-access receiver algorithm for mixed communications and radar signal types. We denote this algorithm as a multiple-channel multiple-user receiver (MCMUR). The signals include communications signals, traditional radar-return waveforms, and interference waveforms. The resulting receiver employs iterative alternating projections to maximize performance. In addition to improving the ability to separate signals, the spatial degrees of freedom improve the convergence rate. We discuss the theory of multiaccess receivers in this context in terms of capacity and detection performance. We provide a derivation of the receiver and discuss extensions that are effective in dispersive environments. We simulate a simple RF convergence scenario as an example.
AB - We employ both adaptive spatial and temporal degrees of freedom to separate multiple signals impinging upon an RF convergence antenna-array receiver. Motivated by the maximum-likelihood methodology, we construct a multiple-access receiver algorithm for mixed communications and radar signal types. We denote this algorithm as a multiple-channel multiple-user receiver (MCMUR). The signals include communications signals, traditional radar-return waveforms, and interference waveforms. The resulting receiver employs iterative alternating projections to maximize performance. In addition to improving the ability to separate signals, the spatial degrees of freedom improve the convergence rate. We discuss the theory of multiaccess receivers in this context in terms of capacity and detection performance. We provide a derivation of the receiver and discuss extensions that are effective in dispersive environments. We simulate a simple RF convergence scenario as an example.
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U2 - 10.1109/ACSSC.2018.8645157
DO - 10.1109/ACSSC.2018.8645157
M3 - Conference contribution
AN - SCOPUS:85062943974
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1031
EP - 1035
BT - Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
Y2 - 28 October 2018 through 31 October 2018
ER -