Iterative Correction of Artificial Noise Weights and Low Bit Feedback Method for Multi-send-Single-Receive System

Abstract

The invention discloses an iterative correction of artificial noise weights and a low-bit feedback method for a multi-send and single-receive system. In the TDD communication mode, Alice, the N-antenna sender, obtains an errored channel estimation value in the access time slot to generate an initial master Beam weight w 0 and the artificial noise weight q 0,i . Bob at the receiving end calculates the error data Er after receiving the signal containing artificial noise, and feeds back the result after quantization. After Alice receives the data, the main beam weight w and the artificial noise weight q i (i=1, . . . , N‑1) are updated and the transmission and error feedback of the next time slot are performed. After a certain number of iterations, the original unmatched weights will be corrected to the actual channel response. The present invention can realize the function of weight correction by using a small amount of return bits in each uplink time slot without changing the existing TDD communication mode and without using additional equipment, has the advantage of low complexity, and can meet the requirements of communication real-time requirements.

Description

technical field [0001] The invention belongs to the field of wireless communication, and in particular relates to a method for iterative correction of artificial noise weights and low-bit feedback in a multi-send-single-receive system. Background technique [0002] With the development of wireless communication technology and the popularization of intelligent terminal equipment, people pay more and more attention to information security in the process of wireless communication. Wireless communication signals are easily intercepted and stolen due to their natural openness and borderless nature, which is one of the root causes of information leakage problems. Therefore, how to ensure the effectiveness and reliability of communication without resorting to the encryption means of the upper layer protocol has become the primary problem to solve potential safety hazards. In view of this, research on the secure transmission of information at the physical layer has become the key t...

AI Technical Summary

Problems solved by technology

However, the traditional offline and online calibration, wired and wireless calibration, all require additional equipment and cumbersome processing in terms of implementation. The accuracy of calibration is limited by the accuracy of existing equipment and it is difficult to reach a high level. It is even more difficult to deal with the influence of estimation error and channel slow change except for inter-channel error, and it is difficult to ensure that artificial noise will not affect the information transmission in the direction of legitimate users

[0006] The above facts show that in actual communication engineering, there is still a lack of a truly simple, effective, and practical method for correcting the artificial noise weight of the MISO system.

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