Real time sensor signal network transmission method based on linear prediction filtering

Abstract

The invention relates to a real-time sensor signal network transmission method based on linear predictive filtering. The technical proposal is that: a sending end only sends a sampling sequence needed by signal rebuilding, the received sampling sequence is recovered on a receiving end by adopting a linear predictive filtering method, and a source signal is rebuilt by adopting the sequence, thereby building a virtual local sensor of the signal, and a user can acquire a signal sampling estimation value by sampling the virtual local sensor. The method comprises the following steps: a, clock synchronization of the sending end and the receiving end, namely carrying out the clock synchronization of the sending end and the receiving end by adopting average round-trip time of multiple synchronous frames; b, sending optimization of the sampling sequence by the sending end; c, recovery processing of the sampling sequence by the receiving end; and d, signal rebuilding on the receiving end. The method has the advantages of optimizing sending data sequence, reducing network flow needed by data transmission, and ensuring that signal data use and network transmission of signals are separated and a user does not need to directly concern signal network transmission course.

Description

Technical field [0001] The invention relates to the use of a linear prediction filter to construct a virtual sensor to solve the problem of real-time sensor signal transmission in the network, and a prediction method to alleviate the destruction of the real-time sensor signal due to data loss, disorder and code error caused by network transmission. The invention belongs to cross-technology in the fields of computer network, signal processing, computer control and the like. Background technique [0002] With the development of electronic communication technology and computer network technology, network control systems and sensor networks have become one of the current hotspots in scientific research. In network control systems and sensor network systems, real-time signals must be transmitted through the network, and the characteristics of the network have an important influence on the signal characteristics obtained by the user. Effective real-time signal network transmission tech...

AI Technical Summary

Problems solved by technology

These problems have a great impact on the real-time system based on the network. The functional characteristics of the system itself are coupled with the characteristics of the network, which makes the design and analysis of the system more complicated. This is a major obstacle hindering the development of real-time system technology based on the network.

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