Abstract
TDDM (time division data modulation) technique will be used in the next generation GNSS (global navigation satellite system) to improve processing performance and to reduce inter-GNSS interference; however, the emergence of TDDM signal causes the estimation frequency and message reversal fuzz problems in the acquisition process of a GNSS receiver. At present, the traditional acquisition methods have some limitations and shortcomings. Therefore, aiming at the unique characteristics of TDDM signal, a fast acquisition algorithm is proposed to overcome these fuzz problems in this paper. In the proposed algorithm, three stages are obtained by some key technologies, which are theI-Qfrequency compensation, superposition processing, subsection processing, and reversion position estimation. Besides, the algorithm is simulated from carrier frequency error, code phase error, message inversion error, and processing speed. Theoretical and simulation results show that the new algorithm can quickly overcome the fuzz problems, and the new algorithm is better than the existing algorithm in the speed and accuracy, which demonstrates that this new algorithm is an effective search scheme for the next generation GNSS signals.
Highlights
GNSS [1] with the advantages of high accuracy, high speed, and low cost has become the most widely used application of spread spectrum communication technology [2, 3]
In the precise acquisition stage, the received signal and local code are divided into two sections, and the length of each section is equal to the duration of half message code
The fuzz problem caused by external factors and internal factors is analyzed, and the two-channel algorithm for TDDM signal is mainly studied
Summary
GNSS (global navigation satellite system) [1] with the advantages of high accuracy, high speed, and low cost has become the most widely used application of spread spectrum communication technology [2, 3]. The mechanisms of TDDM modulation are a new spread spectrum technology using long-period code parity. Some new studies on analysis of the signal synchronization are proposed, such as activation feedback control synchronization scheme [16] and projective synchronization scheme [17]. These algorithms and schemes can reach effective synchronization purpose. According to the TDDM signal characteristics, combined with the existing research methods, a fast acquisition algorithm is proposed to overcome the fuzz problems for TDDM signal in this paper
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