2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
In this paper, we consider the extension of the capabilities of autonomous underwater vehicles (A... more In this paper, we consider the extension of the capabilities of autonomous underwater vehicles (AUV's) to operate in pairs, thus representing each pair of sonars as a bistatic sonar. We utilize principles from the emerging MIMO radar theory, considering both the sonar transmitter and the sonar receiver as systems of closely spaced antennas that transmit/receive multiple linearly independent waveforms. Our objective is to formulate a covariance matrix that allows independent direction of arrival (DOA), direction of departure (DOD), and target strength estimation with reduced complexity. Simulation results demonstrate the effectiveness of the proposed method.
2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers, 2007
Derived from statistical conditional optimization criteria, the auxiliary-vector (AV) detection a... more Derived from statistical conditional optimization criteria, the auxiliary-vector (AV) detection algorithm starts from the target vector and adding non-orthogonal auxiliary vector components generates an infinite sequence of tests that converges to the ideal matched filter (MF) processor for any positive definite input autocorrelation matrix. When the input autocorrelation matrix is replaced by a conventional sample-average estimate, the algorithm effectively generates
2007 IEEE International Conference on Communications, 2007
Abstract—We derive new bounds on the aperiodic total squared correlation (ATSC) of binary antipod... more Abstract—We derive new bounds on the aperiodic total squared correlation (ATSC) of binary antipodal signature sets for any number of signatures K and any signature length L. We then present optimal designs that achieve the new bounds for several (K, L) cases. As an ...
The classical problem of detecting a complex signal of unknown amplitude in colored Gaussian nois... more The classical problem of detecting a complex signal of unknown amplitude in colored Gaussian noise is revisited in the context of adaptive detection with limited training data via the auxiliary-vector (AV) filter estimation algorithm. Based on statistical conditional optimization criteria, the iterative AV algorithm starts from the target vector and adding non-orthogonal auxiliary vector components generates an infinite sequence of
Sequence detection offers improved error-rate performance over conventional symbol-by-symbol dete... more Sequence detection offers improved error-rate performance over conventional symbol-by-symbol detection when channel knowledge is not available at the receiver end. However, maximum-likelihood (ML) noncoherent sequence detection is proven to be notoriously intractable in many communication settings. In this work, we develop a new ML sequence detector for pulse-amplitude modulation (PAM) or quadrature-amplitude modulation (QAM) transmissions in unknown Rayleigh fading. Our detector identifies the ML sequence with overall polynomial complexity. This is possible via an auxiliary-angle approach that unlocks a low-rank property of the ML detection problem, reduces the exponential-size set of solution sequences to a polynomial-size set of candidates, and guarantees that the ML sequence is always contained in this substantially smaller set.
2013 47th Annual Conference on Information Sciences and Systems (CISS), 2013
ABSTRACT The recent increased interest in massive multiple-input multiple-output systems, combine... more ABSTRACT The recent increased interest in massive multiple-input multiple-output systems, combined with the cost of the analog RF chains, necessitates the use of efficient antenna selection (AS) schemes. Capacity or SNR optimal AS has been considered to require an exhaustive search among all possible antenna subsets. In this work, we identify in polynomial time a polynomial-size collection of antenna subsets that contains the one that maximizes the post-processing receiver SNR when two receive and an arbitrary number of selected transmit antennas are employed.
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
In this paper, we consider the extension of the capabilities of autonomous underwater vehicles (A... more In this paper, we consider the extension of the capabilities of autonomous underwater vehicles (AUV's) to operate in pairs, thus representing each pair of sonars as a bistatic sonar. We utilize principles from the emerging MIMO radar theory, considering both the sonar transmitter and the sonar receiver as systems of closely spaced antennas that transmit/receive multiple linearly independent waveforms. Our objective is to formulate a covariance matrix that allows independent direction of arrival (DOA), direction of departure (DOD), and target strength estimation with reduced complexity. Simulation results demonstrate the effectiveness of the proposed method.
2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers, 2007
Derived from statistical conditional optimization criteria, the auxiliary-vector (AV) detection a... more Derived from statistical conditional optimization criteria, the auxiliary-vector (AV) detection algorithm starts from the target vector and adding non-orthogonal auxiliary vector components generates an infinite sequence of tests that converges to the ideal matched filter (MF) processor for any positive definite input autocorrelation matrix. When the input autocorrelation matrix is replaced by a conventional sample-average estimate, the algorithm effectively generates
2007 IEEE International Conference on Communications, 2007
Abstract—We derive new bounds on the aperiodic total squared correlation (ATSC) of binary antipod... more Abstract—We derive new bounds on the aperiodic total squared correlation (ATSC) of binary antipodal signature sets for any number of signatures K and any signature length L. We then present optimal designs that achieve the new bounds for several (K, L) cases. As an ...
The classical problem of detecting a complex signal of unknown amplitude in colored Gaussian nois... more The classical problem of detecting a complex signal of unknown amplitude in colored Gaussian noise is revisited in the context of adaptive detection with limited training data via the auxiliary-vector (AV) filter estimation algorithm. Based on statistical conditional optimization criteria, the iterative AV algorithm starts from the target vector and adding non-orthogonal auxiliary vector components generates an infinite sequence of
Sequence detection offers improved error-rate performance over conventional symbol-by-symbol dete... more Sequence detection offers improved error-rate performance over conventional symbol-by-symbol detection when channel knowledge is not available at the receiver end. However, maximum-likelihood (ML) noncoherent sequence detection is proven to be notoriously intractable in many communication settings. In this work, we develop a new ML sequence detector for pulse-amplitude modulation (PAM) or quadrature-amplitude modulation (QAM) transmissions in unknown Rayleigh fading. Our detector identifies the ML sequence with overall polynomial complexity. This is possible via an auxiliary-angle approach that unlocks a low-rank property of the ML detection problem, reduces the exponential-size set of solution sequences to a polynomial-size set of candidates, and guarantees that the ML sequence is always contained in this substantially smaller set.
2013 47th Annual Conference on Information Sciences and Systems (CISS), 2013
ABSTRACT The recent increased interest in massive multiple-input multiple-output systems, combine... more ABSTRACT The recent increased interest in massive multiple-input multiple-output systems, combined with the cost of the analog RF chains, necessitates the use of efficient antenna selection (AS) schemes. Capacity or SNR optimal AS has been considered to require an exhaustive search among all possible antenna subsets. In this work, we identify in polynomial time a polynomial-size collection of antenna subsets that contains the one that maximizes the post-processing receiver SNR when two receive and an arbitrary number of selected transmit antennas are employed.
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Papers by G. Karystinos