Millimeter-wave system channel estimation method low in complexity

Abstract

The invention discloses a millimeter-wave system channel estimation method low in complexity. The method includes the following steps: firstly, a receiving end uses a first-order codebook to estimatea pair of azimuths AOA and AOD, and then establishes a set on the basis of the defined quantization precision estimated the second time and the number of quantization angles estimated the second time;secondly, the receiving end uses the set obtained in the first step and also a second-order codebook to conduct azimuth estimation at the second-order precision; and thirdly, the receiving end utilizes a least square method to estimate fading of channels corresponding to the azimuths, and determines whether channel estimation is carried out according to a result. Through utilization of sparsity of a millimeter-wave system channel and redundancy of a sparse dictionary in a compression sensing technology, a channel estimation process is quantified through angles to be decomposed into two-complexity channel estimation processes. According to the method, the number of searching of the sparse dictionary is reduced, the millimeter-wave system channel estimation efficiency is increased, and thechannel estimation complexity of channel estimation is reduced effectively while the estimation precision is guaranteed.

Description

technical field [0001] The invention relates to a low-complexity millimeter wave system channel estimation method, belonging to the field of channel estimation in millimeter wave communication systems. Background technique [0002] Millimeter-Wave communication technology refers to the establishment of a communication system suitable for this frequency band under the frequency band of 30GHZ--300GHZ to realize signal transmission. It effectively solves the current shortage of spectrum resources caused by the increase of users and data throughput by using frequency bands that have not yet been used commercially. At the same time, its short wavelength makes it possible to miniaturize the antenna and realize the combination with massive MIMO (Massive Multiple-Input Multiple-Output) technology, which has become one of the key technologies of the next generation of mobile communications. [0003] Channel state information (Chanel State Information, CSI) in the millimeter wave sys...

AI Technical Summary

Problems solved by technology

The traditional BP (Basic Pursuit, base pursuit) algorithm is not suitable for millimeter wave channel estimation due to its high computational complexity

In the current research, reconstruction algorithms such as MP (Matching Pursuit, matching pursuit) and OMP (Orthogonal Matching Pursuit, orthogonal matching pursuit) are mainly used to realize millimeter-wave channel estimation, but the computational complexity of this type of channel estimation method will decrease. rises sharply as the accuracy of channel estimation increases

The adaptive channel estimation method constructs a new sensing matrix by designing an adaptive codebook, and then uses iterative feedback to estimate the millimeter wave channel. However, this method is complex and needs to be combined with feedback technology, which is difficult to implement.

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