Multi-antenna transportation communication network system and signal detection method

Abstract

The invention discloses a multi-antenna transportation communication network system and a signal detection method. The multi-antenna transportation communication network system comprises a transmitting end and a receiving end. A spatial multiplexing technique of a multiple-input multiple-output system is adopted for the transmitting end, and a plurality of transmitting antennas are mounted on vehicular nodes or roadside nodes, so that transportation communication signals can be transmitted by the aid of MIMO (multiple-input multiple-output) channels; according the receiving end, a plurality of receiving antennas are mounted on the vehicular nodes or roadside nodes for receiving signals, and the signals which are received on the various antennas are combined with one another, so that the signals can be jointly detected. The signal detection method includes modeling transportation communication channels at the receiving end by the aid of a basis expansion model, and estimating basis coefficients on the basis of channel models by the aid of a channel estimation process to obtain channel information; detecting the signals according to the obtained channel information by the aid of a sphere detection process. The multi-antenna transportation communication network system and the signal detection method have the advantages that transmission bit error rates of transportation communication networks can be effectively reduced, and the complexity can be effectively lowered.

Description

technical field [0001] The present invention relates to channel estimation and signal detection technology of time-frequency dual-selected channel in traffic communication network, in particular to multi-antenna technology and spherical detection technology in the field of wireless communication. Background technique [0002] The traffic communication system can broadcast road condition information for vehicles, provide adaptive navigation, etc., through effective communication between vehicles and vehicles and roadside units, so as to ensure the safety of vehicles. IEEE802.11p (also known as Wireless Access in the Vehicular Environment, WAVE) is a communication protocol modified and expanded by the IEEE 802.11 standard. communication. In the high-speed mobile vehicle environment, in addition to providing traditional data services, the most important thing is to transmit timely safety and management messages to improve the safety of vehicle operation. IEEE 802.11p expands ...

AI Technical Summary

Problems solved by technology

The application of MIMO will bring a series of problems, such as the detection complexity problem

The simplest receiving techniques for MIMO systems are Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) detection. These two detection methods are simple to implement, but for multi-antenna systems, they can only obtain diversity The order (diversity order) is 1, which cannot achieve the purpose of effectively utilizing the advantages of the MIMO system

The maximum likelihood detection (Maximum Likelihood, ML) method can obtain the optimal performance, but has a high computational complexity, which is not conducive to practical applications.

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