Abstract
The blind recognition of the frame parameter plays a crucial role in frame synchronization in the background of a non-cooperation communication system. This paper proposes an algorithm based on self-correlation on the foundation of existed cumulative filtering algorithm. To overcome high BER, the peak-to-average ratio (PAR) is calculated to improve the algorithm. The simulation results proved that the performance of the algorithm has been improved.
Highlights
In digital communication systems, frame synchronization is a prerequisite for subsequent signal processing such as error correction and information extraction [1,2,3,4]
Based on the cumulative filtering algorithm, this paper proposes a frame parameters recognition
Based on the cumulative filtering algorithm, this paper proposes a frame parameters recognition algorithm based on self-correlation
Summary
Frame synchronization is a prerequisite for subsequent signal processing such as error correction and information extraction [1,2,3,4]. This paper focuses on the frame synchronization methods in the background of the non-cooperative communication. The frame parameters of the received binary signals must be blindly recognized in the context of non-cooperative communication. The cumulative filtering algorithm is the most commonly used blind identification method, the core of which is to use the randomness and synchronization features of asynchronous codes to identify the fame parameters by traversing frame lengths [5]. Based on the existed cumulative filtering algorithm, this paper proposes an improved frame parameter blind identification method based on self-correlation, and its performance is greatly improved.
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