Rabah Maoudj

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This paper presents a post-combining technique applied to the output-data of an interference cancellation algorithm [1]. Proposed in an OFDM context, it is shown that this approach improves performances of the receiver. The proposed interference cancellation algorithm uses several replica of the same data-flow. Each data-flow is obtained applying through(More)
This paper presents a two-part decomposition of a spatial filter having to optimize the reception of a useful signal in the presence of an important co-channel interference level. The decomposition highlights the role of two parts of the filter, one devoted to the maximization of the signal to noise ratio and the other devoted to the interference(More)
This paper focuses on the performance analysis of a linear system solving based on Cholesky decomposition and QR factorization, implemented on 16bits fixed-point DSP-chip (TMS320C6474). The classical method of Cholesky decomposition has the advantage of low execution time. However, the modified Gram-Schmidt QR factorization performs better in term of(More)
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(More)
This paper deals with blind propagation channel estimation that should be a key feature for future agile waveforms. The proposed approach is based on high order statistics, inverse Fourier Transform and auto-deconvolution. The paper can be seen as a follow up to a previous work devoted to this subject [10]. It introduces an important improvement in the(More)
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(More)
In this paper we introduce an adapted Constant Modulus Algorithm in order to identify the impulse response of an unknown propagation channel. This algorithm deals with the output of a fourth order moment estimation algorithm of received samples. This paper can be viewed as a follow up of a previous work devoted on blind channel estimation. It will be shown(More)