Broadband millimeter wave channel estimation method under low-precision hybrid architecture

Abstract

The invention discloses a broadband millimeter wave channel estimation method under low-precision hybrid architecture. For a full spectrum band, an analog precoder and an analog combiner are optimallydesigned, and for sub-carriers, a digital combiner is optimally designed for broadband channel estimation. Firstly, an isotropic analog transceiver is designed, the analog transceiver adopts a fullyconnected phase shifter network, and the phases of the phase shifters are evenly distributed; and then, a digital combiner with frequency selectivity is optimally designed to obtain an optimal channelestimation result. In view of a millimeter wave channel with multipath sparseness, before the optimized design of the digital combiner, an element position corresponding to a channel principal component can be found by the method by using orthogonal matching pursuit (OMP), thus further reducing the complexity of channel estimation. The broadband channel estimator provided by the invention is applicable to a general channel model. In a hybrid architecture multi-antenna system using a low-precision analog-to-digital converter, the estimation accuracy of the broadband millimeter wave channel estimation method provided by the invention for any channel is greatly improved compared with the conventional method.

Description

technical field [0001] The present invention relates to the communication field, to a channel estimation method, and more specifically to a broadband millimeter wave channel estimation method under a low-precision hybrid architecture. Background technique [0002] In next-generation wireless networks, user data traffic will increase dramatically. However, the spectrum resources in the middle and low frequency bands are limited, making it difficult to meet user needs. For this reason, the millimeter wave band (mmWave) has been developed and utilized and has entered the next generation of mobile communication standards, and its abundant spectrum resources greatly increase the system capacity. However, the path loss and shadow fading of mmWave signals are more serious than those in the middle and low frequency bands, so that the system capacity is limited by a lower receiving signal-to-noise ratio (SNR). To this end, it is necessary to make full use of the advantages of multi...

AI Technical Summary

Problems solved by technology

However, in quantized receivers using low-precision ADCs, the channel estimation accuracy drops significantly due to the highly nonlinear quantization operation

Therefore, high-precision channel estimation becomes a major challenge in wideband mmWave large-scale multi-antenna technology systems using low-precision ADCs and hybrid architectures

Images