Analysis of Blind Frame Recognition and Synchronization Based on Sync Word Periodicity

Yong-Sung Kil,Hyunjae Lee,Sang-Hyo Kim,Seok-Ho Chang

doi:10.1109/access.2020.3014426

Yong-Sung Kil, Hyunjae Lee + Show 2 more

Open Access

https://doi.org/10.1109/access.2020.3014426

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Abstract

Blind recognition of communication parameters has been studied for various applications including cognitive radios, non-cooperative communications, electronic warfare, etc. In this article, the identification of frame information, such as frame length and synchronization word (SW), and frame synchronization, is addressed over the wiretap channel, where no prior information of the frame structure is available, but only the existence of a repeated SW is known. Modifying the previous study, we propose two blind frame recognition and synchronization algorithms based on the correlation between two distinct windows of the received signal as well as the mean of periodic samples. The algorithms run in two steps. A multiple of frame length is estimated via the correlation and then other frame parameters are acquired using the mean of periodic samples with the estimate. Asymptotic analysis of the first algorithm shows that the error probability of estimation vanishes as the received data increases both in noiseless and noisy transmissions. The second algorithm improves the performance in the limited received data scenario. Simulation results as well as complexity analysis of the proposed algorithm are also shown.

Highlights

In digital communication systems, data are transmitted in units of frames, and they are recovered at the receiver through proper digital signal processing techniques
A usual assumption pertaining in most of the previous works on frame synchronization is that the receiver has the knowledge of frame information such as the frame length, the synchronization
A two-step algorithm was proposed, in which the cross-correlation of two windows of the received signal was used to estimate the frame length first, and the synchronization word (SW) was estimated from the mean of the received symbols that are sampled with the period of the estimated frame length

Summary

INTRODUCTION

Data are transmitted in units of frames, and they are recovered at the receiver through proper digital signal processing techniques. A two-step algorithm was proposed, in which the cross-correlation of two windows of the received signal was used to estimate the frame length first, and the SW was estimated from the mean of the received symbols that are sampled with the period of the estimated frame length. In [10], the exact frame length was estimated by averaging the intervals of consecutive peaks through the correlation function Other frame parameters, such as the SW and the length of a frame, and the delay were estimated using the absolute mean of periodic samples subsequently. We claim through Algorithm 1 that setting a frame length multiple by choosing a single peak of the correlation first, and estimating all other parameters with the mean of periodic samples is an effective approach. The rest of the algorithm can be computed in O (Nmax)

ANALYSIS OF BLIND FRAME RECOGNITION IN GAUSSIAN WIRETAP CHANNELS

MODIFIED BLIND FRAME RECOGNITION AND SYNCHRONIZATION

VIII. CONCLUSION