A novel channel estimation algorithm with PN training sequence in TD-SCDMA systems

A channel estimation algorithm based on superimposed training sequence is proposed in this paper. The algorithm does not need the allocation of time slot for superimposed training sequence, and it can estimate the channel coefficients without loss of bandwidth. The mean squared difference, Cramer-Rao bound and the lower bound of channel capacity are deduced based on the LS algorithm of channel estimation. It has simple structure, less computational requirement by using the LS algorithm. The result of simulation shows that the performance of system is improved to a large extent by using superimposed training sequence rather than direct training sequence, and the capacity of system is also increased.

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Training Sequence Design Based on Channel Estimation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.787.1097 ◽

2013 ◽

Vol 787 ◽

pp. 1097-1104

Author(s):

Xin Meng ◽

Ruo Mei Wang ◽

She Xiang Ma

Keyword(s):

Channel Estimation ◽

Minimum Mean Square Error ◽

Estimation Algorithm ◽

Research Direction ◽

Training Sequence ◽

Estimation Accuracy ◽

Performance Point ◽

M Sequence ◽

Training Sequence Design ◽

The Common

Channel estimation is an important research direction in wireless communications; channel estimation based on the training sequence is the most commonly used method. Different training sequence is very different from the performance of channel estimation, in order to improve channel estimation accuracy. This paper analyzes the common m sequence and from the optimal channel estimated performance point design of applicable in any given length of sequence. The sequence, respectively, under the traditional channel estimated algorithm and based on compressed sensing to channel estimation algorithm has the criterion of Minimum Mean Square Error. Meanwhile, the sequence obtained after the demodulated training sequence through different modulation systems are different, so as to have greater flexibility.

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The G_S Channel Estimation Algorithm of GPS Interference Suppression

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.556-562.4469 ◽

2014 ◽

Vol 556-562 ◽

pp. 4469-4472

Author(s):

Ying Hua Cui ◽

Hua Wang

Keyword(s):

Channel Estimation ◽

Global Positioning System ◽

Interference Suppression ◽

Estimation Algorithm ◽

Training Sequence ◽

Positioning System ◽

Gps Positioning ◽

Channel Parameters ◽

Global Positioning ◽

Efficient Scheme

Global Positioning System (GPS) becomes one of the key technologies in precise navigation and position area. Interference Suppression technology of GPS plays an essential role in the accuracy of GPS positioning. In this paper, we proposed a more efficient scheme based on Gram-Schmidt algorithm with the training sequence, which is named the GSCE algorithm (the Gram-Schmidt Channel estimation algorithm). Compared with some other existing methods, the algorithm improves the positioning precision of the GPS by estimating channel parameters.

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