Results 271 to 280 of about 238,580 (307)

On the Mutual Coupling Matrix in Array Signal Processing

2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020
We discuss some of the issues associated with the Mutual Coupling Matrix (MCM) which is used extensively to model the antenna array manifold. We show that the MCM does not have the correct structure to provide an accurate mathematical model of the true array manifold.
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On Forward–Backward MODE for Array Signal Processing

Digital Signal Processing, 1997
Abstract We apply the MODE (method of direction estimation) principle to the forward–backward (FB) covariance of the output vector of a sensor array to obtain what we call the FB-MODE procedure. The derivation of FB-MODE is an interesting exercise in matrix analysis, the outcome of which was somewhat unexpected: FB-MODE simply consists of applying ...
Petre Stoica, Magnus Jansson
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Array processing using parametric signal models

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
This paper attempts to assess the potential performance gain of spatial-temporal processing relative to conventional spatial processing, for signals obeying a deterministic parametric model. The Cramer-Rao bound (CRB) on the estimates of the source directions of arrival (DOA) is used to quantify this gain. Spatial-temporal processing does not yield any
Ariela Zeira, Benjamin Friedlander
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Designing and processing signals for array processing for random channels

IEEE International Conference on Acoustics Speech and Signal Processing, 1993
The author studies array processing of signals through channels that have a mean value and a random part. The transmitted signal shapes that maximize the ratio of the power in the expected channel output signal to the sum of the multiplicative and added noise are determined.
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An evolutionary algorithm for parametric array signal processing

1995
This paper presents an evolutionary algorithm for solving parameter optimization problems in parametric array signal processing. The method utilises the niche concept to maintain a population capable of exploring the search space while preserving the diversity to prevent premature convergence.
Dekun Yang, Stuart J. Flockton
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Optimal array processing for non-stationary signals

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
The optimal array filtering problem consists mainly of implementing a complex linear and time invariant (TI) filter, optimizing a second order criterion at the output, under some possible constraints and assuming stationary signals. This approach is optimal for stationary signals, but becomes sub-optimal for non-stationary signals for which the optimal
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Adaptive signal processing in multi-beam arrays

2011 9th East-West Design & Test Symposium (EWDTS), 2011
The paper considers the processing of constant modulus signals in multi-beam adaptive arrays. The processing is based on the substitution of multi-extreme cost-function of the adaptive filtering process by a linearly constrained quadratic one and the decomposition of the signal processing algorithm for multi-beam array on a number of separate ...
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Array signal processing

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
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Array signal processing for parametric array

2008
The aim of this thesis is to investigate the possible way to implement the array signal processing technique using the parametric array. This work focuses on the control of the beamwidth and the sidelobe of the difference frequency generated.
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Wideband array signal processing

2008
Array processing has played an important role in many diverse application areas such as radar, sonar, radio astronomy, seismology, tomography, speech, communication etc. As early as World War II,phased array radars have been used. Most modern radar and sonar systems rely on antenna arrays or hydrophone arrays as an essential component to estimate the ...
Ng, Boon Poh, Ma, Chang Zheng
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