Multiple signal direction-finding and interference reduction techniques

McCarthy, F.

doi:10.1109/wescon.1993.488461

Cited by 2 publications

(1 citation statement)

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“…However, for short data sequences, the signals are not yet orthogonal to each other, and the projection leads to a misadjustment in the second and subsequent stages, thus limiting its performance. To mitigate this effect, the forced orthogonality of the signals may be relaxed [28][29][30] by only making sure that they are "sufficiently" independent of each other. In these schemes, a number of CMAs are running in parallel, all started from distinct initializations.…”

Section: A Blind Signal Separationmentioning

confidence: 99%

An analytical constant modulus algorithm

Veen

Paulraj

1996

IEEE Trans. Signal Process.

450

363

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Abstract-Iterative constant modulus algorithms such as Godard and CMA have been used to blindly separate a superposition of co-channel constant modulus (CM) signals impinging on an antenna array. These algorithms have certain deficiencies in the context of convergence to local minima and the retrieval of all individual CM signals that are present in the channel. In this paper, we show that the underlying constant modulus factorization problem is, in fact, a generalized eigenvalue problem, and may be solved via a simultaneous diagonalization of a set of matrices. With this new, analytical approach, it is possible to detect the number of CM signals present in the channel, and to retrieve all of them exactly, rejecting other, non-CM signals. Only a modest amount of samples are required. The algorithm is robust in the presence of noise, and is tested on measured data, collected from an experimental set-up.

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Section: A Blind Signal Separationmentioning

confidence: 99%