Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Allan Steinhardt"'
Publikováno v:
IEEE Transactions on Wireless Communications. 16:8026-8036
With increased crowding of the electromagnetic spectrum, interference must be leveraged as an available resource. To address this problem, we develop an array processing technique that provides wireless communications devices with enhanced physical l
Autor:
Daniel J. Rabideau, Allan Steinhardt
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 35:879-891
Adaptive array algorithms based on sample matrix inversion (SMI) require the availability of a secondary data set to "train" the adaptive filter. Numerous data-independent rules have been proposed for selecting this training data. However, such rules
Autor:
Allan Steinhardt, S. Bose
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 32:911-922
We study the design of constant false-alarm rate (CFAR) tests for detecting a rank-one signal in the presence of background Gaussian noise with unknown spatial covariance. We look at invariant tests, i.e., those tests whose performance is independent
Autor:
Allan Steinhardt, S. Bose
Publikováno v:
IEEE Transactions on Signal Processing. 44:2801-2809
Adaptive array detection of known (within a complex scaling) rank one space time waveforms in unknown spatial noise has received considerable attention. The two published solutions are the adaptive matched filter, and the GLRT. We expand on this work
Autor:
S. Bose, Allan Steinhardt
Publikováno v:
IEEE Transactions on Signal Processing. 43:2164-2175
We introduce a framework for exploring array detection problems in a reduced dimensional space by exploiting the theory of invariance in hypothesis testing. This involves calculating a low-dimensional basis set of functions called the maximal invaria
Autor:
Allan Steinhardt, Daniel J. Rabideau
Publikováno v:
IEEE Transactions on Signal Processing. 43:369-373
In this correspondence, we examine several cost functions that have been proposed for automating the mapping of algorithms onto multiprocessors. Through a case study of the recursive least squares problem, we develop improved cost functions. One of t
Autor:
R. Onn, Allan Steinhardt
Publikováno v:
IEEE Transactions on Signal Processing. 42:3006-3015
In many applications (radar, communication, plasma physics) the signal of interest is sinusoidal and is hidden in nonwhite noise. The multiwindow method of spectrum estimation gives a constant false alarm test for the presence of a sinusoid in a time
Publikováno v:
Linear Algebra and its Applications. 185:21-30
The hyperbolic singular value decomposition is defined on a general n × m matrix and an m × m signature matrix pair. It is employed in finding the eigenstructure of any matrix that is expressed as the difference of two matrix outer products. Such d
Autor:
J.O. Jonsson, Allan Steinhardt
Publikováno v:
IEEE Transactions on Signal Processing. 41:1702-1705
The authors study the multiwindow spectral analysis method as it applies to the detection of sinusoidal signals. They examine the probability of false alarm P/sub FA/. The total P/sub FA/ (sinusoidal frequency unknown) is shown analytically to be bou
Autor:
Ruth Onn, Allan Steinhardt
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 7:103-116
The purpose of this paper is to elucidate the multi-window method for spectral estimation and sinusoid detection. The multi-window method, devised by D.J. Thomson, has many features that distinguish it from other spectrum estimation techniques. It ha