Fixed subarray space-based millimeter wave beam forming method based on depth complex network

Abstract

The invention discloses a fixed subarray space-based millimeter wave beam forming method based on a depth complex network, which simplifies a radio frequency pre-coding matrix and a radio frequency merging matrix through a fixed subarray structure, greatly reduces the requirements of a phase shifter, reduces the hardware dependence and reduces the failure rate compared with the prior art. By constructing the neural network which inputs the real part and the imaginary part of the complex number respectively and is fully connected with the lower-layer neurons, compared with a traditional methodin which the real part and the imaginary part need to be separated into two networks for processing, computing resources are saved; through the design of weight and offset parameter shared imaginary part neuron and real part neuron node expressions, half of network parameters are reduced, the system complexity is greatly reduced, hardware resources are saved, the operation rate is increased, and the real-time performance is improved.

Description

technical field [0001] The invention belongs to the field of space-based millimeter wave communication wave control, and in particular relates to a fixed subarray space-based millimeter wave beamforming method based on a deep complex network. Background technique [0002] Millimeter wave communication has the advantages of large bandwidth, narrow beam, and all-weather work, and has been widely used in the field of ground communication. At present, technologies such as massive MIMO and hybrid beamforming are usually used to overcome the shortcomings of millimeter wave communication such as short transmission distance, high path loss, and high cost of radio frequency devices, and improve communication capacity and quality. [0003] With the maturity of ground millimeter-wave communication technology, the research of space-based millimeter-wave communication technology has become a hot spot in the academic and engineering circles. Different from ground-based systems, space-bas...

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Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a fixed-subarray space-based millimeter-wave beamforming method based on a deep complex network, which optimizes the computation scale of the deep neural network while ensuring real-time performance. Solved the problem that the space-based millimeter wave beamforming algorithm requires too much hardware resources and has low real-time performance

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