Low complex degree equalization method based on iteration jam deleting in spread spectrum communication system

A technology of interference cancellation and spread spectrum communication, which is applied in transmission systems, electrical components, etc., can solve the problems of not considering the influence of receiving performance, the decrease of signal-to-noise ratio, and unbearable computational complexity.

Inactive Publication Date: 2008-07-30
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

For linear equalization, the optimal tap position selection problem is a multi-dimensional joint search problem, and its computational complexity is often unbearable
However, this approach only solves the problem of complexity, but does not consider the impact on receiving perform

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  • Low complex degree equalization method based on iteration jam deleting in spread spectrum communication system
  • Low complex degree equalization method based on iteration jam deleting in spread spectrum communication system
  • Low complex degree equalization method based on iteration jam deleting in spread spectrum communication system

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Embodiment Construction

[0055] The low-complexity equalization method based on iterative interference deletion in the spread spectrum communication system proposed by the present invention is described in detail as follows with reference to the accompanying drawings and embodiments.

[0056] The inventive method comprises the following steps:

[0057] Firstly, in the pilot phase of the received signal, channel estimation is performed using methods such as sliding correlation or least squares, and the estimated value h of the composite channel response is obtained m [i], m=0, 1, ..., M-1, i = 0, 1, ..., KN c -1, where M represents the number of spread spectrum waveforms used by the communication system, K represents the number of symbols covered by the composite channel response, N c Indicates the number of sampling points in a symbol period;

[0058] For each composite channel response h m [i], i=0, 1, ..., KN c -1, from KN c Select the L diameter with the largest amplitude among the diameters, ...

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Abstract

The invention relates to a low-complexity balancing method which is used in a spread spectrum communication system based on iterative interference cancellation, and belongs to the technical field of wireless communication. The method includes the following steps: in the pilot stage when receiving a signal, a channel is estimated using such methods as glide correlation and least square to get an estimation value of compound channel responses; for each compound channel response, L paths with maximum amplitude are selected from KNc paths, and the values of the other paths are assigned as zero; the channel responses are fragmented, Nc paths in each section form a channel response vector, and M vectors belonging to the k section form a channel response matrix; a correlation value register and a provisional decision variable register are initialized; in a numeric data code element stage when receiving the signal, the iterative interference cancellation is acted according the sequence of the numeric data code element to get a final decision value of an emitting code element. The invention greatly reduces the calculation amount of the tap selection and the coefficient training, but the performance thereof surpasses a linear balancing method which arranges the tap according to the maximum path position.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to a low-complexity equalization method in a spread spectrum communication system. Background technique [0002] The wireless communication system uses electromagnetic waves to complete the transmission of information in different locations in space, and it generally includes two parts: transmitting and receiving. In the transmitting part, the information bits to be transmitted undergo baseband processing such as error correction coding, spread spectrum, modulation, etc., and finally transform into radio frequency transmission signals. Before the transmitted signal reaches the receiving end, it will be affected by various destructive factors in the wireless channel, such as multipath interference, multi-user interference, and channel time variation. Therefore, in the receiving part, the sampled baseband signal must be processed first, such as using an equalization me...

Claims

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Application Information

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IPC IPC(8): H04B1/707
Inventor 田亚飞杨晨阳
Owner BEIHANG UNIV
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