Reduced rank spatial filter for interference cancellation

Fety, Luc; Maoudj, Rabah; Terré, Michel; Martinod, Laurent; Mège, Philippe

doi:10.1109/iswcs.2012.6328366

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…In [3], the weights , have an impulse response length equal to that of the propagation channels, while impulse response length is twice more long. The optimal solution according to the proposed algorithm is the one obtained when the rank of is equal to the sum lengths of , , impulse response's.…”

Section: Ill-conditioned Matrix Problemmentioning

confidence: 99%

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DSP implementation of interference cancellation algorithm for a SIMO system

Maoudj

Alexandre

Popielski

et al. 2012

2012 International Symposium on Wireless Communication Systems (ISWCS)

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Abstract-This paper presents an implementation on the fixed-point DSP chip of an interference cancellation algorithm containing a linear system. Difficulty in matching the algorithms performance obtained in full precision (IEEE float-point) implementation to those given by a finite precision tends to increase when the algorithms contains one or several linear system to solve.Gauss and Cholesky methods are implemented. Their performance results are showed and compared. The global implementation margins are discussed.

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Section: Ill-conditioned Matrix Problemmentioning

confidence: 99%

“…This paper presents the implementation results on the fixedpoint DSP chip (TMS 320C6474) [1] of an interference cancellation algorithm based on 2 antennas SIMO system [3]. This implementation is made in the fixed-point 16-bit resolution.…”

Section: Introductionmentioning

confidence: 99%

DSP implementation of interference cancellation algorithm for a SIMO system

Maoudj

Alexandre

Popielski

et al. 2012

2012 International Symposium on Wireless Communication Systems (ISWCS)

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“…The originality of the presented algorithm for cochannel interference cancellation is based on the exploitation of the length of the channel impulse response [1]. The assumption of low rank channel allows the introduction of an extra third weight applied to the reference signal at the receive antennas, see figure 1.…”

Section: Techniquementioning

confidence: 99%

“…Performing interference cancellation algorithm [1], while neglecting the estimation of the length of the channel impulse response means that the performance of the algorithm becomes sub-optimal even when this length of the channel impulse response is assumed much larger than the true one. This problem appears essentially in the matrix inversion included in the algorithm.…”

Section: Introductionmentioning

confidence: 99%

Self-adjustment channel rank based on reordered cholesky factorization

Maoudj

Alexandre

Terré

2012

2012 Ninth International Conference on Wireless and Optical Communications Networks (WOCN)

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Abstract-This paper presents a self-adjustment of the length of the channel impulse response using a classical Cholesky Factorization. This is of special importance in the context of algorithms containing a matrix inversion and the rank of this matrix is strongly related to the length of the channel impulse, i.e. interferer cancellation algorithm [1].When the length of the channel impulse response is overestimated, the matrix inversion is carried out with a singular matrix. A self-adjustment is then required to avoid an increase in the noise level.

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