Physical layer network coding-based nonsynchronous superposed signal decoding system and method

Abstract

The invention discloses a physical layer network coding-based nonsynchronous superposed signal decoding system and method, belonging to the technical field of wireless relay communication. The layer network coding-based nonsynchronous superposed signal decoding system comprises a channel module and three radio devices, wherein the two radio devices are used as two source nodes, the other radio device is used as a relay node, the two source nodes are used for carrying out wireless communication through the relay node, the relay node adopts a physical layer network coding relay mode; the two source nodes comprise a signal source module, a channel coding module, a modulation module, a demodulation module and a subtraction module; and the relay node comprises a coherence demodulator module, a judgment module, a channel decoding module and a modulation module. The invention completely considers nonsynchronous condition, error rate performance and computing complexity, and is more suitable for decoding a nonsynchronous superposed signal in a practical platform, thereby being more beneficial to realization of network coding of a physical layer.

Description

technical field [0001] The invention belongs to the technical field of wireless relay communication, in particular to an asynchronous superposition signal decoding system and method based on physical layer network coding. Background technique [0002] In the field of wireless relay communication, network coding (Network Coding, NC) is an information exchange technology that combines coding and routing. Convergence increases the amount of information transmitted in a single transmission and improves the overall performance of the network. As soon as the concept of NC was put forward in 2000, it aroused widespread concern in the international academic circles, and its theory and application have become a new hotspot in the field of communication research. NC has shown its superiority in improving network throughput, improving load balancing, reducing transmission delay, saving node energy consumption, enhancing network stability, etc., and can be widely used in Ad Hoc network...

AI Technical Summary

Problems solved by technology

But some of these schemes are based on the superimposed signal decoding algorithm under the assumption of complete synchronization, and some of them can solve the problem of increased bit error rate caused by relative carrier phase offset, but cannot overcome the bit error rate caused by symbol offset. Add problems, and these methods are more complicated or difficult to implement

When combining channel coding and decoding algorithms, there are several different combinations, but these combinations are not able to balance complexity and bit error rate performance

[0007] It can be seen that at present, the three issues of asynchrony, algorithm complexity and bit error rate performance are rarely considered as a whole, and they are only partially considered.

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