Channel estimation and balancing method for rail transit high-speed moving scene

Abstract

The invention discloses a channel estimation and balancing method for a rail transit high-speed moving scene. The method comprises following steps of S1, obtaining a current train position; S2, setting up a channel model at a prediction train position; S3, determining basic impact response of the channel at the prediction train position based on the current position of the train; S4, tracking the variable quantity of the channel response at the prediction train position; rapidly estimating the actual channel impact response at the prediction position and S5, balancing the channel according to the actual channel impact response at the prediction position determined in the step S4. According to the technical scheme provided by the invention, channel estimation is carried out on the known channel model at the train moving position through combination of the rail transit scene and the channel modeling; the channel estimation time delay is very short; the estimation precision is high; and the method is applicable to precise channel estimation and balancing in high-speed moving and complex scenes.

Description

technical field [0001] The invention relates to the technical field of wireless mobile communication, in particular to a channel estimation and equalization method used in high-speed rail transit moving scenarios. Background technique [0002] With the rapid development of rail transit systems such as railways, subways, intercity railways, and especially high-speed railways, providing reliable, real-time, and efficient broadband wireless network services for train passengers has become a hot spot in broadband mobile communication research at home and abroad. However, the rapid time-varying channels caused by high-speed movement and complex rail transit scenarios (viaducts, road cuttings, tunnels, marshalling yards, railway hubs, etc.) will distort the transmitted train control signals. If the channel distortion is not equalized or compensated, it will seriously affect the signal recovery at the receiving end and affect driving safety. Therefore, channel estimation technolog...

AI Technical Summary

Problems solved by technology

Traditional channel estimation techniques suitable for medium and low-speed mobile scenarios are not suitable for high-speed mobile scenarios

However, the existing channel estimation and equalization technologies suitable for high-speed mobile scenarios are based on accurate acquisition of channel state information or estimation and interpolation in the frequency domain based on pilots. Channel state information will quickly become outdated under high-speed mobile conditions; The inserted pilot will greatly increase the estimated delay

These methods still have problems such as high complexity of channel estimation, long delay time of channel estimation, inability to track channel changes in a high-speed mobile state, and difficulty in obtaining accurate channel estimation and equalization in a very short time in complex scenarios.

These methods often require a compromise between estimation accuracy and estimation time

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