A Lens Antenna Array Channel Estimation Method Using Redundant Dictionary to Enhance Sparsity

Abstract

The invention discloses a lens antenna array MIMO channel estimation method for enhancing sparsity by using a redundant dictionary. The lens antenna array MIMO channel estimation method is characterized in that in a millimeter-wave lens antenna array MIMO, a receiving end and a transmitting end adopt an antenna selection network to replace a full connection-phase shift network, so that the hardware cost and the power consumption of a communication system are reduced; in a pilot frequency interaction stage, the antenna selection network obtains a channel detection result of a part of angle range in each switching; after multiple times of switching, the radio frequency link traverses and connects all array elements of the lens antenna array in a plurality of continuous time slots, so that achannel is completely observed by using limited hardware resources; and the receiving end further performs sparse representation on the original sparse channel of the lens antenna array by using the redundant dictionary, and performs channel recovery by using a compressed sensing theory. By utilizing the redundant dictionary, power leakage caused by continuous distribution of channels AoDs and AoAs can be resisted, so that channel representation is more sparse, and the performance of a subsequent sparse signal recovery algorithm is facilitated.

Description

technical field [0001] The invention relates to the field of channel estimation in mobile communication, in particular to a millimeter-wave lens antenna array MIMO channel estimation method using redundant dictionaries to enhance sparsity. Background technique [0002] Millimeter wave technology is a communication technology that has broad application prospects in next-generation mobile communication (5G) systems. The ultra-large bandwidth and ultra-high data rate provided by mmWave can effectively support the rapidly increasing user demand in 5G. In order to take full advantage of the advantages of millimeter waves, communication transceivers widely adopt massive MIMO (Multiple-Input Multiple-Output) systems based on analog / digital hybrid architectures, but the huge phase shifting widely used in hybrid architectures A network of switches can impose prohibitive hardware costs and power consumption on the system. [0003] In order to improve the cost-effectiveness of the co...

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Problems solved by technology

[0006] In view of this, the present invention provides a millimeter-wave lens antenna array MIMO channel estimation method that utilizes redundant dictionaries to enhance sparsity. By using a simple antenna selection network, it solves the problem caused by the huge phase shifter network in traditional channel estimation methods. the hardware cost and power consumption issues that come with

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