Low-complexity and high-performance channel estimating method and device

Abstract

The invention relates to a low-complexity and high-performance channel estimating method. The method comprises the following steps of filtering a channel estimating value of an obtained reference signal sub-carrier, and obtaining the channel estimating value of partial sub-carrier; performing frequency domain interpolation for the channel estimating value of the partial sub-carrier, and obtaining the full channel estimating value. According to the invention, frequency-domain filtering which is carried out by adopting an L-order frequency domain filter in the prior art is divided into first frequency-domain filtering and second frequency-domain filtering.. As the complex filter treatment of the first level only estimates the channel of the partial sub-carrier, the total computation of a first-level complex filter is reduced. As the second-level frequency domain filter treatment adopts a Farrow structure and parameters are carefully selected, a low-order fixed coefficient filter with no multiplier can be formed, and thus, the computation is very small. And moreover, according to the method and device provided by the invention, not only can the complexity of the computation be reduced, but also high efficient performance of a receiver is ensured.

Description

technical field [0001] The invention relates to the field of mobile communication, in particular to a channel estimation method and device with low complexity and high performance. Background technique [0002] With the development of mobile communication technology and the growth of individual needs of users, high data rate and high spectral efficiency are becoming one of the main requirements of mobile communication systems. The corresponding advanced technologies, such as Orthogonal Frequency Division Multiplexing (OFDM , Orthogonal Frequency Division Multiplexing), multiple-antenna input-output technology (MIMO, Multiple-Input Multiple-Out-put), has also become the mainstream support technology of the current broadband mobile communication system, and has been developed and applied in many practical systems, such as the global Microwave Interoperability (WiMax, Worldwide Interoperability for Microwave Access), Long Term Evolution (LTE, Long Term Evolution), etc. [0003...

AI Technical Summary

Problems solved by technology

[0024] The problem with the above channel estimation is that the calculation is relatively large

[0025] To sum up, for modern broadband high-speed data systems, to ensure high throughput and good real-time performance, the above complex algorithms require a lot of calculations, which may lead to high power consumption and high cost of the receiver channel estimation module

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