Wireless sensor network channel evaluation method based on SC-FDE and virtual multi-antenna

Abstract

The invention relates to a wireless sensor network channel estimation method based on SC-FDE and virtual multiple antennas, wherein, firstly, a transmitting end determines length value of Chu sequences which are taken as training sequences; secondly, noise powers of a relay end and a receiving end are estimated and the maximum non-zero tap number of channel time domain responses among various nodes is determined, and then power distribution coefficients of various nodes are determined; thirdly, corresponding Chu sequences are selected by the transmitting end according to the determined length value and the power distribution coefficients, added with cyclic prefixes, and transmitted in a first time slot; fourthly, the relay end receives signals which are transmitted by the transmitting end and then removes the cyclic prefixes of the signals, and novel cyclic prefixes are added after the signals are multiplied by power normalization coefficients and the power distribution coefficients, and then the signals are transmitted in a second time slot; the receiving end respectively receives signals in the first time slot and the second time slot, and various received signals are transformed to frequency domains after removal of the cyclic prefixes; fifthly, estimation of the minimum variance unbiased channel is performed, thereby channel estimation with high precision and low complexity in collaborative communication of the virtual multiple antennas is realized.

Description

technical field [0001] The invention relates to the field of wireless information transmission, in particular to a channel estimation method in a broadband wireless sensor network based on single carrier frequency domain equalization technology and virtual multi-antenna technology. Background technique [0002] Multiple-input multiple-output (MIMO) technology refers to the technology that uses multiple antennas at both the transmitting end and the receiving end, which can significantly improve the capacity of the communication system and the quality of the wireless transmission link, so it has become a research in the field of wireless communication. hotspot. However, due to the influence of factors such as the price and volume of the terminal equipment, it is not practical to configure multiple antennas on the nodes of the wireless sensor network. In order to solve this problem, two technologies, cooperative communication and virtual multi-antenna, came into being. [000...

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Problems solved by technology

[0005] Channel state information is mainly used for channel equalization and data detection of the sink node, and channel estimation based on training sequence assistance is a simple and effective method to obtain channel state information. In this paper, a channel estimation method for broadband wireless sensor networks based on amplifying and forwarding cooperative processing is proposed, which overcomes the shortcomings of existing technical solutions that are only applicable to OFDM-based single relay node cooperative communication through unitary matrix transformation of relay nodes. However, since this method uses time-domain processing to estimate channel parameters, and in a wireless sensor network based on SC-FDE and virtual multi-antenna technology, the channel equalization of the sink node is realized in the frequency domain. Therefore, how to effectively It has become an urgent task for those skilled in the art to solve the channel parameter estimation problem coexisting with the single-carrier baseband data block transmission system

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