Uniform channel decomposition method for vertical layered space-time coding communication system

Abstract

The invention discloses a uniform channel decomposition method for a vertical layered space-time coding communication system which mainly solves the problem that the traditional uniform channel decomposition method is greatly influenced by channel errors. The decomposition method is as follows: (1) a transmitting terminal carries out singular value decomposition on an obtained channel matrix*with errors; (2) the transmitting terminal and a receiving terminal respectively build an augmented matrix J by utilizing a unitary matrix*decomposed by the singular value; (3) the transmitting terminal and the receiving terminal respectively carry out geometric mean decomposition on the augmented matrix J; (4) the transmitting terminal designs a pretreatment matrix F according to a diagonal matrix*obtained according to the singular value decomposition and a unitary matrix P<J>, and the pretreatment matrix pretreats transmitting signals; (5) the receiving end obtains column vectors of an after-treatment matrix W according to results decomposed the geometric mean; (6) the receiving end decodes vectors y of the receiving signals by adopting a successive interference cancellation method. The method has the advantages of low bit error rate and high system volume and is used for the design of a transceiver of a multi-input multi-output communication system.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to the design of a sending end and a receiving end of a multi-input multi-output communication system, in particular to a uniform channel decomposition method. Background technique [0002] In the past ten years, information and communication technology and its application systems have developed rapidly, showing unprecedented prosperity. The development and maturity of mobile communication, wireless communication, multimedia information service and the Internet provide great convenience for people to carry out any kind of information interaction in different time and space fields. The wide application of Internet technology and people's increasing dependence and demand on data transmission services have impacted and promoted the continuous upgrading of mobile communication technology. The existing third-generation mobile communication system has been difficult to meet the high-...

AI Technical Summary

Problems solved by technology

But this conventional approach adds considerable complexity to the modulation, demodulation, and codec processes required to successfully transmit a signal over multiple subchannels. For example, to achieve the desired channel capacity, a MIMO system must perform bit allocation to match Capacity of each subchannel

The bit allocation not only complicates the required modulation, but also reduces the capacity corresponding to the granularity of the finite symbol constellation of the adopted coding scheme

Or use the same symbol constellation for each sub-channel like HIPERLAN / 2 and IEEE 802.11 standards, then provide more power to sub-channels with large attenuation, resulting in a significant drop in capacity

In order to solve this problem, the literature [Y.Jiang, J.Li, and W.Hager, "Uniform Channel Decomposition for MIMO Communications," IEEE Trans.Signal Process., vol.53, no.11, pt.1, pp. 4283-4294, Nov.2005.] A uniform channel decomposition (UCD) scheme is proposed, which decomposes the MIMO channel into multiple identical parallel sub-channels, but the uniform channel decomposition (UCD) scheme given in this document assumes Both the receiver and the transmitter know the perfect channel state information, which does not exist in the actual system. For the receiver, its channel state information is obtained through channel estimation, and channel estimation errors exist; while for the transmitter As far as the machine is concerned, its channel state information is obtained through the channel estimation of the reverse channel or through the limited feedback channel, and there are errors in both cases

Since the V-BLAST system decoding algorithm in the uniform channel decomposition scheme uses a nonlinear serial interference cancellation method, it is sensitive to channel errors, so channel errors will have a greater impact on system performance

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