The current study synchronization algorithm based on cyclic prefix, requirements of cyclic prefix length cannot be greater than OFDM the 1/4 of the symbol timing synchronization, otherwise, the system timing synchronization error will be significant. Aiming at this problem, this paper again by changing the training sequence structure, puts forward the improved synchronization algorithm, consider the impact of the correlation coefficient on timing synchronous, by an estimate of the correlation coefficient, reducing the factors that affect the performance of the ML timing synchronization algorithm; in the frequency offset estimation, using the set of related ideas to eliminate the drawbacks of ML algorithm performance in multipath channel low, through the simulation verified the effectiveness of the algorithm.
Abstract-The present study of the synchronization algorithm based on training sequence, has a small peak value easily confused with accurate timing synchronization peak value, resulting in error occurs and so on in timing synchronization. To solve this problem, this paper redesign the structure of training symbols by using a better correlation ZC sequence, to complete system synchronization task. Through effective calculation, the algorithm improves the coarse timing synchronization accuracy, increases the fractional frequency offset estimation accuracy, but also ensure the performance improvement of the fine timing synchronization and integer frequency offset estimation. Comparing simulation between the SC algorithm and the newly proposed algorithm under the Gauss channel and multipath channel, verifies the effectiveness of the newly proposed algorithm. Keywords-OFDM; synchronization; training sequence I.INTRODUCTION OFDM system is composed of a plurality of carriers transmitted information, which results in the optimu m sampling time of the system difficult ly to determine if synchronization is not accurately determined, on the one hand, the receiver signal will occur the severe ISI (Inter Symbol Interference) problem; on the other hand, the frequency deviation compensation correctness's premise is timing synchronization correctness, if the optimal sampling point cannot be accurately determined, the frequency offset compensating system will appear error, each sub-carrier will lose orthogonality, the receiver end signal will appear ICI(Inter-Carrier-Interference) problem. The importance of timing synchronization makes the synchronization algorithm has become the focus of various research scholars. In all the current synchronization algorith ms, main ly include SC algorithm-based algorithm based on the training sequence, ML estimation algorithm-based algorithm based on cyclic prefix and the MUSIC algorithm-based algorithm based on blind estimation. SC algorith m, Minn algorithm and Park algorith m, the train ing symbols of these classic algorithms are constituted by the PN sequence, and this paper will use a better correlation ZC sequence[1], redesign training symbols structure, to complete the system synchronization task.
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