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【文件名】:06831@52RD_MIMO.rar
【格 式】:rar
【大 小】:318K
【简 介】:Abstract—We present a novel frequency-domain framework
for the identification of a multiple-input multiple-output (MIMO)
system driven by white, mutually independent, unobservable inputs.
The system frequency response is obtained based on singular
value decomposition (SVD) of a matrix constructed based on the
power-spectrum and slices of polyspectra of the system output.
By appropriately selecting the polyspectra slices, we can create a
set of such matrices, each of which could independently yield the
solution, or they could all be combined in a joint diagonalization
scheme to yield a solution with improved statistical performance.
The freedom to select the polyspectra slices allows us to bypass
the frequency-dependent permutation ambiguity that is usually
associated with frequency domain SVD, while at the same time
allows us compute and cancel the phase ambiguity. An asymptotic
consistency analysis of the system magnitude response estimate is
performed.
Index Terms—Higher order statistics, joint diagonalization,
MIMO system identification, permutation ambiguity.
【目 录】:
I. INTRODUCTION
II. PRELIMINARIES
III. MIMO IDENTIFICATION FOR WHITE INPUTS
IV. ASYMPTOTIC CONSISTENCY ANALYSI
V. SIMULATIONS
VI. CONCLUSIONS
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