OQPSK Synchronization Parameter Estimation Based on Burst Signal Detection

Abstract

The fast estimation of synchronization parameters plays an extremely important role in the demodulation of burst signals. In order to solve the problem of high computational complexity in the implementation of traditional algorithms, a synchronization parameter (frequency offset, phase offset, and timing error) estimation algorithm based on Offset Quadrature Phase Shift Keying (OQPSK) burst signal detection is proposed in this article. We first use the Data-Aided (DA) method to detect where the burst signal begins by taking the segment correlation between the receiving signals and the known local Unique Word (UW). In the sequel, the above results are adopted directly to estimate the synchronization parameters, which is obviously different from the conventional algorithms. In this way, the complexity of the proposed algorithm is greatly reduced, and it is more convenient for hardware implementation. The simulation results show that the proposed algorithm has high accuracy and can track the Modified Cramer–Rao Bound (MCRB) closely.

Robust Burst Detection Algorithm for Distributed Unique Word TDMA Signal

“…The unique word (UW) based detection algorithm [11][12][13] can achieve high accuracy by detecting the burst of received signal through the self-correlation property of UW in the TDMA signal under the assumption that the receiver has the perfect prior knowledge of UW. However, current signal detection algorithms based on UW mainly consider the distribution of UW in signal frame head [14][15][16][17], and we have not seen much research on DUW, except Hou 1 and Hou 2 algorithms [18]. They have advantages of good antifrequency offset, but do not behave well at lower SNR and are greatly influenced by the structure of UW.…”