Multidimensional channel parameter extracting method

Abstract

The invention discloses a multidimensional channel parameter extracting method. The method comprises the following steps of: 1, calculating the ranges of local regions and the number of measurement snapshots contained in the range of every local region according to the parameter setting of measurement equipment and the related information of a measurement environment in the channel measuring process; 2, determining the position of the current measurement snapshot in the local region in which the current measurement snapshot is positioned according to the calculation result of the step 1; 3, initializing the channel parameter of every path of the current measurement snapshot by a serial interference eliminating method or a measurement snapshot correlation-based method selectively accordingto the determination result of the step 2; and 4, performing iterative operation on the channel parameter of every path by using a search strategy with priority, and updating the channel parameter inthe iterative operation process according to the principle that the likelihood function of the channel parameter of every path is maximized and does not decrease monotonically. By the method, the efficiency of the multidimensional channel parameter extracting process can be improved, and the accuracy of an extraction result can be ensured.

Description

technical field [0001] The invention relates to wireless communication technology, in particular to a multi-dimensional channel parameter extraction method. Background technique [0002] With the development of wireless communication technologies, in order to effectively carry massive multimedia services, the requirements for transmission rate and spectrum efficiency of wireless communication systems are getting higher and higher. The multiple-input multiple-output (Multi-Input Multi-Output, MIMO) technology is just a key technology of a new generation of wireless communication system proposed to improve the transmission rate and spectrum efficiency of the wireless communication system. This technology uses multiple antennas to send and receive signals to suppress channel fading, and can double the capacity and spectrum utilization of wireless communication systems without increasing bandwidth. However, since the performance of MIMO technology is also subject to the space-t...

AI Technical Summary

Problems solved by technology

However, the serial interference cancellation method has low efficiency and takes a long time in the actual execution process, so that the initialization process accounts for about 70% of the execution time of the entire channel parameter extraction process.

[0018] 2) Neglecting that multipath signals usually propagate in the form of clusters, and the channel parameters of each path signal in the same cluster are similar

Such a search strategy is less efficient

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