Vimal Radhakrishnan — accepted AI-conference papers

2016

Subspace-based adaptive widely linear blind channel estimation for constrained minimum variance CDMA receiver

Nuan Song, Vimal Radhakrishnan, Rodrigo C. de Lamare, Martin Haardt

ICASSP 2016accepted

We propose a subspace-based Widely Linear (WL) blind channel estimation scheme based on the iterative power method for the WL constrained minimum variance Code Division Multiple Access (CDMA) receiver. The novel technique approximates the noise subspace by using a matrix power and the WL processing…

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2015

Distributed beamforming for cooperative networks with widely-linear processing at the relays and the receiver

Jens Steinwandt, Vimal Radhakrishnan, Martin Haardt

ICASSP 2015accepted

This paper addresses the distributed beamforming problem, where widely-linear (WL) processing is employed at both the relays and the receiver to take advantage of strictly second-order (SO) noncircular source signals. We consider a single-antenna communication pair in a relay network, which suffers…

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