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

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...

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 performance

Because the feedback filter deletes a large part of the multipath energy in advance, the signal-to-noise ratio during symbol judgment will be greatly reduced. When the signal-to-noise ratio of the received signal is low, the bit error rate of the system will be relatively high

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