Guangxi Key Laboratory of Precision Navigation Technology and Application

Guilin, China

Guangxi Key Laboratory of Precision Navigation Technology and Application

Guilin, China
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Sunyong W.,Guilin University of Electronic Technology | Sunyong W.,Guangxi Key Laboratory of Precision Navigation Technology and Application | Qiutiao X.,Guilin University of Electronic Technology | Shengqi Z.,Xidian University | And 2 more authors.
Journal of Radars | Year: 2017

The Track-Before-Detect (TBD) algorithm based on the particle filter is proposed for weak extended target detection and tracking in low signal to clutter noise radio. The rod-shaped object is analyzed by dividing the cell on range and azimuth under the Weibull clutter. On the basis of a point target, the likelihood function and particle weights can be obtained by the target spread function. In the TBD algorithm, the binary target variable and the target shape parameters is added to the state vector and the scattering points in the sample collection is given based on the particle filter, which can detect and estimate the target state and the shape parameters under the clutter environment. Simulation results show that the stability of the algorithm is very good.


Sun X.,Guilin University of Electronic Technology | Sun X.,Guangxi Key Laboratory of Precision Navigation Technology and Application | Liu J.,Guilin University of Electronic Technology | Liu J.,Guangxi Key Laboratory of Precision Navigation Technology and Application | And 5 more authors.
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | Year: 2017

The performance of UWB indoor positioning system is mainly affected by NLOS errors. In this paper, a channel state detection method based on channel statistics is proposed. The probability distribution function of Root Mean Square Delay Spread (RMS) and Mean Excess Delay (MED) under IEEE802.15.4a standard is modeled as standard distribution. Channel state is identified by Likelihood Ratio Test (LRT) based on KL divergence between channel instantaneous distribution and standard distribution. A localization algorithm named LRT-Chan based on LRT is proposed to improve positioning accuracy by effectively utilizing data contaminated by NLOS. Simulation results show that, LRT detection can obtain high accuracy in all UWB channels; when Anchor Nodes (ANs) with NLOS errors are not in ideal distribution, LRT-Chan algorithm can gain higher positioning accuracy. © 2017, Science Press. All right reserved.


Yuan H.,Beihang University | Jin T.,Beihang University | Yang Q.,Beihang University | Ji Y.,Guangxi Key Laboratory of Precision Navigation Technology and Application
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | Year: 2017

A multipath S-curve bias (MSCB) method to isolate multipath signals based on S-curve bias (SCB) is proposed to solve the complexity of extracting the multipath component from the signals of navigation satellite. A model for received signals that contain multipath components is built. Then both the relationship between SCB and multipath amplitude and the relationship between phase and delay are analyzed. Two different SCB curves are obtained under different multipath delay conditions. The multipath parameters is finally estimated from the turning points of the SCB curves. Experimental results based on Beidou and GPS signals show that MSCB effectively extracts characteristic parameters of multipath component (or multipath like) from the ground or satellite itself, and the multipath resolution is improved from meter to decimeter or even centimeter level, and that the standard deviation of MSCB estimation is only one-sixth of that derived from the traditional multipath estimation delay locked loop algorithm. It is concluded that MSCB may provide a new approach to model and to analyze multipath signals in the future. © 2017, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.


Chen Y.,Guilin University of Electronic Technology | Chen Y.,Guangxi Key Laboratory of Precision Navigation Technology and Application | Ji Y.,Guilin University of Electronic Technology | Ji Y.,Guangxi Key Laboratory of Precision Navigation Technology and Application | And 2 more authors.
Shuju Caiji Yu Chuli/Journal of Data Acquisition and Processing | Year: 2015

Considering the long pseudo-code used by BD2 navigation system with the shortcoming of large resource occupation when employing the traditional matched filter acquisition method, a kind of folded-structure matched filter combined with fast Fourier transform (FFT) is proposed to reduce acquisition time and resource consumption. Firstly, the mathematical model of the algorithm is deduced and the core module among sinc interpolation unit is analyzed. The folded-structure and the FFT unit are realized on field-programmable gate array (FPGA). The experiment result show that the design realized rapid acquisition and low resource consumption. The method can be effectively applied to the signal acquiring of BeiDou navigation system as well as that of the other systems. ©, 2015, Journal of Data Acquisition and Processing. All right reserved.


Cai C.,Guilin University of Electronic Technology | Cai C.,Guangxi Key Laboratory of Precision Navigation Technology and Application | He C.,Guilin University of Electronic Technology | He C.,Guangxi Key Laboratory of Precision Navigation Technology and Application | And 2 more authors.
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | Year: 2016

A high-precision correction algorithm based on the block IIR-M satellites is proposed to improve the precision of IGS ultra-rapid predicted (IGU-P) products. In order to ensure that the real-time precise point positioning (RTPPP) with high positioning accuracy could come true, it is attempted to get the difference between the first prediction data and the last epoch of IGS ultra-rapid observed (IGU-O), and then to compute the value and determine the direction of accuracy revised value based on influence of the degree of residual value to difference sequence of IGU-O. The numerical examples with the data set of 19 IGU files showed that the prediction accuracy of proposed method was superior to three basic models and IGU-P within 6 hours, the rate of improved accuracy range from 3.48% to 6.13%, and average prediction accuracy of corresponding models were, in order, 0.599 ns, 0.570 ns and 0.531 ns. © 2016, Surveying and Mapping Press. All right reserved.

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