multi-user detection

This paper mainly focuses on the blind multi-user detection algorithms based on the signal subspace in DS-CDMA system. At first, in this paper the basis of the MUD is introduced, which includes the basic principle and the basic structure of the MUD. Then the mathematical model of the blind MUD is built in the synchronous additive white Gaussian noise (AWGN) channel, and the vectors of blind decorrelating detector and minimum mean-square error (MMSE) detector based on signal subspace are given. The principle of blind MUD algorithms based on signal subspace is that the weight vectors of detector are expressed by signal subspace parameters.Through the simulations and Lacoste Polo Shirts studies on time-domain MUD with signal subspace, several algorithms with lower computational complexity and better performance are compared, such as classical subspace tracking Lacoste Shirts algorithms PASTd and OPAST. We notice that these detectors with signal subspace estimation based on these classical tracking algorithms suffer from lower signal-to-noise ratio (SNR) that will considerably polo shirts reduce their performance. The main reason is that the estimated signal subspace can not completely include the information of the desired signal under the conditions of lower SNR and insufficient cheap ralph lauren polo shirts data. Motivated by this observation, in this paper, a multiuser detector based on interference discount wedding dresses subspace (ISE) without loss of the desired information is custom made prom dresses presented. First, the interference subspace is estimated from the received data with the desired signal subtracted.
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