Method for constructing WTC-I (Wiretap Channel-I) based on BI-AWGN channel without channel state information

Abstract

The invention provides a method for constructing WTC-I (Wiretap Channel-I) based on a BI-AWGN channel without channel state information. The method comprises the following steps: step 1, carrying outbidirectional communication connection between a legal sender and a legal receiver, and carrying out one-way communication connection between an illegal eavesdropper and the legal sender or the legalreceiver; step 2, generating a feedback check sequence and broadcasting the feedback check sequence by the legal receiver, receiving a feedback check sequence set subjected to noise interference by the legal sender and the illegal eavesdropper; step 3, generating a sending sequence set and broadcasting and sending the sending sequence set by the legal sender, and receiving the sending sequence setby the legal receiver and the illegal eavesdropper; step 4, respectively processing the sending sequence set by the legal receiver and the illegal eavesdropper to obtain a detection sequence; step 5,respectively obtaining a bit log likelihood ratio by the legal receiver and the illegal eavesdropper; and step 6, decoding by the legal receiver and the illegal eavesdropper based on the bit log likelihood ratio by using a soft decision algorithm. The method for constructing the WTC-I based on the BI-AWGN channel without the channel state information provided by the invention has simple implementation, low resource consumption and small transmission delay.

Description

technical field [0001] The invention relates to the technical field of wireless communication security, in particular to a method for constructing a WTC-I based on a BI-AWGN channel without channel state information. Background technique [0002] With the rapid development of information technology, the dependence of private information and commercial information transmission on wireless communication network is obviously increasing, and the attention of the security issues of the communication system itself is also increasing rapidly. Based on the 7-layer protocol of Open System Interconnection, the information security mechanism of the traditional communication system is established on the network layer and the layers above. Its core technology is the key encryption mechanism. The transmission link of the physical layer information security has not attracted enough attention. However, due to the openness and versatility of the electromagnetic signal transmission environme...

AI Technical Summary

Problems solved by technology

However, there are still two deficiencies in this scheme: first, the legitimate sender needs to use a noisy public channel to send information, so it is necessary to reduce the information transmission rate and combine strong error-correcting codes and other technical means to make The public channel is completely reliable, which additionally increases the complexity of the system implementation; secondly, the weak error correction capability of the hard-decision decoding algorithm leads to low reliability of the main channel, so that the effect of expanding the quality advantage of the established channel is not obvious , it will also cause the maximum safe transmission rate upper limit of the subsequent safe and reliable encoding to be not high

However, there are still some deficiencies in this scheme: first, its public bit-log likelihood ratio extraction method involves a large number of exponential and logarithmic operations, and resources (such as implementation complexity, storage space, energy consumption and time delay) etc.) consumes a lot

Second, it uses the sum-product algorithm or the maximum a posteriori probability algorithm for iterative decoding, and the sum-product algorithm or the maximum a posteriori probability algorithm also involves a large number of exponential and logarithmic operations in each iteration process, and the resource consumption is also large

to σ 1 and σ 2 The inaccurate estimation of will cause a sharp deterioration in the subsequent soft-decision decoding performance, which will lead to a serious shortage of the quality of the main channel, that is, the lack of robustness to the channel state information, and the accurate estimation of the channel also consumes a large amount of resources.

These three deficiencies make this scheme unsuitable for systems with limited energy supply and computing power and high requirements for transmission delay.

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