A Simplified Diagonal Cross-Correlation Carrier Frequency Offset Estimation Method

Abstract

The invention discloses a simplified diagonal cross-correlation carrier frequency offset estimation algorithm, including: S1: setting a PSAM-like frame structure; S2: obtaining the baseband receiving signal Z; S3: obtaining the demodulation operation based on the baseband receiving signal Z. Modulation signal Z' m ; S4: Utilize the demodulated signal Z′ m , get the cross-correlation operator R through the time-domain cross-correlation algorithm CC ; S5: Using the cross-correlation operator R CC , the diagonal cross-correlation operator R is obtained by autocorrelation algorithm DCC ; S6: Use the diagonal cross-correlation operator R DCC , Obtain the diagonal cross-correlation frequency offset estimator S7 by taking the amplitude angle operation: use the diagonal cross-correlation frequency offset estimator to obtain the simplified diagonal cross-correlation frequency offset estimator S8 by using the complex signal exponential approximation: use the simplified diagonal cross-correlation The correlation frequency offset estimator is combined with the phase deambiguation algorithm to obtain a simplified diagonal cross-correlation frequency offset estimator for phase ambiguity. This method not only has low overall complexity, but also can take into account a larger estimation range and higher estimation accuracy.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a simplified diagonal cross-correlation carrier frequency offset method. Background technique [0002] The short burst communication system is widely used in high-speed mobile communication, satellite communication, military communication and other fields. The Doppler effect caused by the relative movement of the two parties in the communication causes a certain frequency deviation of the received signal. A large frequency deviation will lead to a sharp deterioration of the bit error performance of the synchronous receiver, resulting in a serious decline in communication quality. [0003] Traditional frequency offset estimation techniques can be divided into data-assisted DA, non-data-assisted NDA and decision-guided DD according to whether pilot frequency is used or not. Both NDA and DD estimators have higher SNR thresholds than DA estimators. Therefore,...

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Problems solved by technology

J.Palmer, M.Rice in "Low-ComplexityFrequency Estimation Using Multiple DisjointPilot Blocks in Burst-Mode Communications" (IEEE Transaction Communication, PP3135-3145, 59(11), 2011) proposed to use the Kalman filter to estimate the frequency offset The non-coding method of iterative update solves the phase ambiguity, and then combines the autocorrelation estimation algorithm AC (Auto-Correlation) to obtain a larger estimation range, but the complexity is very high and the specific steps of the phase deblurring algorithm are not given

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