The Correlator Design Of BOC And Tracking Performance Analysis

Binary Offset Carrier (BOC) Signal which is widely used by Global Navigation Satellite System (GNSS) in the future is studied in this dissertation, and MATLAB tool is utilized to simulate and verify it.This article has carried on the detailed analysis to the new BOC signal characteristic. Through the analysis of the power spectral density function know BOC signal has split spectrum, through the analysis of the correlation function know BOC signal has narrow correlation peak associated with a higher potential for tracking accuracy, through several of its important parameters including the root mean square (RMS) bandwidth, the effective rectangular bandwidth, spectral separation coefficients, correlation loss, shows that it has the higher code tracking accuracy and anti jamming ability. At the same time, this paper has made the profound comparison to the BOC and PSK-R signal's characteristic on each aspect, in order to reflect the BOC signal system on the characteristics of the superiority.Sliding correlation, matched filter, fast parallel acquisition method based on time and frequency domain is discussed in detail. BOC signal system related to the new proposed correlator structure, including standard BOC correlator, non-coherent BOC correlator, VE-VL correlator, proposed most newly correlator and deconvolution correlator. This thesis has made detailed simulation and analysis to the deconvolution correlator structure, not only obtains the output linear feature curve of deconvolution correlator, but also obtained its sensitive loss and has given the quantification formula. Through the simulation indicates: as a result of the BOC signal's multi-peak structure of autocorrelation function increased acquisition and tracking complexity.Pseudo-range is a core element in satellite positioning, and Pseudo-range withdraws from the code tracking loop, then code tracking loop's error study appears very important, this article has made the detailed analysis of the radio frequency front end to autocorrelation function influence. The S curve can use for the qualitative performance of code tracking loop, the S curve stems from the autocorrelation function, thus this article has also made the detailed analysis of the radio frequency front end to the S curve's influence. Then this dissertation emphasizes the code tracking loop error quantitative analysis. This article proposes under the unified TOA estimate model frame, through modeling and inferential reasoning derive: RF front-end bandwidth, early late code spacing, carrier-to-noise ratio, integration time and code Loop bandwidth has a great impact on tracking accuracy. Finally has made the comparison to the PSK-R signal and the BOC signal's code error of tracking. After the analysis discovery, the new BOC signal's track performance truly surpasses traditional PSK-R signals.