Decimation Double-Phase Estimator: An Efficient and Unambiguous High-Order Binary Offset Carrier Tracking Algorithm

2016 ◽  
Vol 23 (7) ◽  
pp. 905-909 ◽  
Author(s):  
Tian Feng
Keyword(s):  
High Order ◽  
Tracking Algorithm ◽  
Binary Offset Carrier ◽  
Double Phase

An Improved Acquisition Method for High-Order BOC-Modulated Signals Based on Fractal Geometry

2013 ◽  
Vol 846-847 ◽  
pp. 1185-1188 ◽  
Author(s):  
Hua Bing Wu ◽  
Jun Liang Liu ◽  
Yuan Zhang ◽  
Yong Hui Hu
Keyword(s):  
Fractal Geometry ◽  
Output Signal ◽  
Signal To Noise Ratio ◽  
High Order ◽  
Main Peak ◽  
Signal To Noise ◽  
Binary Offset Carrier ◽  
Simulation Results ◽  
Modulated Signals ◽  
Acquisition Method

This paper proposes an improved acquisition method for high-order binary-offset-carrier (BOC) modulated signals based on fractal geometry. We introduced the principle of our acquisition method, and outlined its framework. We increase the main peak to side peaks ratio in the BOC autocorrelation function (ACF), with a simple fractal geometry transform. The proposed scheme is applicable to both generic high-order sine-and cosine-phased BOC-modulated signals. Simulation results show that the proposed method increases output signal to noise ratio (SNR).

Unambiguous Acquisition/Tracking Technique for High-Order Sine-Phased Binary Offset Carrier Modulated Signal

2015 ◽  
Vol 84 (4) ◽  
pp. 2835-2857 ◽  
Author(s):  
Tao Yan ◽  
Jiaolong Wei ◽  
Zuping Tang ◽  
Bo Qu ◽  
Zhihui Zhou
Keyword(s):  
High Order ◽  
Binary Offset Carrier ◽  
Tracking Technique

scholarly journals Two-Step Galileo E1 CBOC Tracking Algorithm: When Reliability and Robustness Are Keys!

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Aleksandar Jovanovic ◽  
Cécile Mongrédien ◽  
Youssef Tawk ◽  
Cyril Botteron ◽  
Pierre-André Farine
Keyword(s):  
Tracking Algorithm ◽  
Tracking Accuracy ◽  
Multipath Mitigation ◽  
Binary Offset Carrier ◽  
Signal Tracking ◽  
Gps Navigation ◽  
Tracking Process ◽  
Galileo Satellite ◽  
Navigation Signals ◽  
Reliability And Robustness

The majority of 3G mobile phones have an integrated GPS chip enabling them to calculate a navigation solution. But to deliver continuous and accurate location information, the satellite tracking process has to be stable and reliable. This is still challenging, for example, in heavy multipath and non-line of sight (NLOS) environments. New families of Galileo and GPS navigation signals, such as Alternate Binary Offset Carrier (AltBOC), Composite Binary Offset Carrier (CBOC), and Time-Multiplex Binary Offset Carrier (TMBOC), will bring potential improvements in the pseudorange calculation, including more signal power, better multipath mitigation capabilities, and overall more robust navigation. However, GNSS signal tracking strategies have to be more advanced in order to profit from the enhanced properties of the new signals.In this paper, a tracking algorithm designed for Galileo E1 CBOC signal that consists of two steps, coarse and fine, with different tracking parameters in each step, is presented and analyzed with respect to tracking accuracy, sensitivity and robustness. The aim of this paper is therefore to provide a full theoretical analysis of the proposed two-step tracking algorithm for Galileo E1 CBOC signals, as well as to confirm the results through simulations as well as using real Galileo satellite data.

A Triple-Loop Tracking Method for High-Order BOC-Modulated Signals

2014 ◽  
Vol 568-570 ◽  
pp. 1326-1330
Author(s):  
Hua Bing Wu ◽  
Jun Liang Liu ◽  
Yong Hui Hu
Keyword(s):  
High Order ◽  
Main Peak ◽  
Binary Offset Carrier ◽  
Tracking Method ◽  
Simulation Results ◽  
Modulated Signals

This paper proposes a triple-loop trackingmethod for high-order binary-offset-carrier (BOC)modulated signals. We introduced the characteristics of high-order BOC signals, and then describedthe principle of the triple-loop tracking method, and outlined its framework. The proposed scheme isapplicable to both generic high-order sine- and cosine-phased BOC-modulated signals. The methodremoves the threats brought by the side-peaks ambiguities, while keeping the same sharp correlationof the main peak, thus, allowing for better tracking precision. Simulation results show the validity ofour method in improving the system tracking performances.

scholarly journals Unambiguous Acquisition/Tracking Technique Based on Sub-Correlation Functions for GNSS Sine-BOC Signals

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 485 ◽  
Author(s):  
Fang Hao ◽  
Baoguo Yu ◽  
Xingli Gan ◽  
Ruicai Jia ◽  
Heng Zhang ◽  
...  
Keyword(s):  
Random Noise ◽  
Tracking Error ◽  
Satellite System ◽  
High Order ◽  
Signal Acquisition ◽  
Phase Detection ◽  
Binary Offset Carrier ◽  
Side Peak ◽  
Phase Discrimination ◽  
Coherent Integration

The autocorrelation function (ACF) of the Binary Offset Carrier modulation (BOC) signal for Global Navigation Satellite System (GNSS) has multiple peaks, ambiguity is easily generated during the synchronization of the baseband signal. Some methods have been proposed to remove the ambiguity, but the performance is not suitable for high-order BOC signals or does not maintain narrow correlation characteristics. This paper proposes a sub-function reconstruction synchronization algorithm to solve this problem, of which the key is to design a new local auxiliary code: the local Pseudo-Random Noise (PRN) code is divided into several new codes with different delays. The auxiliary code performs a coherent integration operation with the received signal. Then, a correlation function without any positive side peaks is obtained by multiplying the two correlation results to make the acquisition/tracking completely unambiguous. The paper gives a design scheme of navigation signal acquisition/tracking and deduces the theoretical analysis of detection performance. The phase discrimination function is provided. The performance of the method is analyzed from both theoretical and simulation aspects. Compared with the Binary phase shift keying-like (BPSK-LIKE) method, Subcarrier Phase Cancellation (SCPC) method and the Autocorrelation Side-Peak Cancellation Technique (ASPeCT) method, the proposed method has the best detection probability for the acquisition, which is 0.5 dB-Hz better than ASPeCT. For tracking, the proposed method performs best in terms of phase-detection curve, anti-multipath performance, and anti-noise performance. For high-order BOC signals, the SRSA technique successfully removes the false lock points, and there is only one multipath error envelope, and the code tracking error is almost the same as the ASPeCT method.

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