DSP implementation of interference cancellation algorithm for a SIMO system

Abstract

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.

Performance Analysis of Modified Gram-Schmidt Cholesky Implementation on 16 bits-DSP-chip

“…It means that the number of equations , is greater than the number of unknowns. This situation occurs in the case of pilot-aided propagation channel estimation with assumption of low rank channel [2,7]. The following mathematical expressions can summarize the situation.…”

“…But wireless telecommunications is the main user of linear system solving, as attest the several works published in the IEEE. For the field of wireless telecommunications, linear system solving are found mainly in the algorithmic part of the propagation channel equalization and interference cancellation for MIMO (Multi Input Multi Output) systems where the least square problem is often encountered [2,3] as result of solving MMSE (Minimum Mean Square Estimation ) or LSE (Least Square Estimation) algorithms.…”