Mr. Jianchao Yang Profile

Jianchao Yang

at Harbin Engineering Univ

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Publications (2)

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Proceedings Article | 3 January 2020 Paper

A new adaptive weighted fusion algorithm for BDS and UWB positioning system

Rui Xue, Yue Xu, Jianchao Yang

Proceedings Volume 11373, 1137336 (2020) https://doi.org/10.1117/12.2557493

KEYWORDS: Filtering (signal processing), Data processing, Detection and tracking algorithms, Satellites, Data centers, Clocks, Receivers, Ranging, Troposphere, Data fusion

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In the outdoor scene, most users’ localization requirements can be fulfilled through the Beidou system (BDS). However, when facing some challenging environments with serious shadowing and reflection, such as the positioning of seaport containers, the number of observations of the BDS will decrease and the confidence of the observed pseudorange will degrade. In this case, auxiliary data must be added in order to achieve high-precision positioning. Ultra-wide band (UWB) has strong penetrating power and nanosecond temporal resolution, meantime it has the characteristics of highprecision positioning, so this paper adopts the combined positioning method of BDS and UWB to locate targets in the challenging environment. In this paper, appropriate UWB layout location is selected according to the principle of minimum geometric dilution of precision (GDOP). For BDS/UWB co-location system, this paper proposes a new adaptive weighted method based on pseudorange residual detection for weighted least squares (WLS) localization algorithm. Based on the WLS localization algorithm, the Kalman filter (KF) is introduced to improve the WLS performance, so this paper adopts a WLS and KF positioning algorithm (WLS-KF) for BDS/UWB co-location system. The simulation results show that this positioning method can achieve the positioning accuracy below m-level, which can meet the demand of high precision positioning in the complex environment such as seaport containers.

Proceedings Article | 3 January 2020 Paper

Code-aided carrier phase synchronization algorithm for non-binary LDPC-CPM system

Jianchao Yang, Jingpeng Gao, Xiaolin Liu

Proceedings Volume 11373, 1137335 (2020) https://doi.org/10.1117/12.2557492

KEYWORDS: Expectation maximization algorithms, Signal to noise ratio, Phase shift keying, Signal processing, Computer simulations, Demodulation, Systems modeling, Modulation, Receivers, Telecommunications

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The non-binary low density parity check coded continuous phase modulation (LDPC-CPM) system improves the reliability and effectiveness of the digital signal transmission by relying on the error-correcting performance of nonbinary LDPC code and the spectral efficiency of high-order CPM. However, due to the channel interference during transmission and the phase jitter of local oscillator at the receiving end, the introduced carrier phase offset will drastically deteriorate the system performance. In order to solve the above problem, combining the output characteristic of LDPC iterative decoding, this paper studies the code-aided carrier phase synchronization algorithm suitable for nonbinary LDPC-CPM system, the basic idea is to use the decoding soft information to aid the synchronization parameter estimation, and carrier phase correction of the system is accomplished by joint iteration of synchronizer, demodulator and decoder. Theoretical research and simulation results show that under low signal-to-noise ratio (SNR) conditions, the code-aided synchronization algorithm for non-binary LDPC-CPM system solves the problem that the traditional codeaided synchronization algorithm cannot be applied to M-ary CPM signal, so that it can achieve effective carrier phase synchronization in the large phase offset range and obtain approximate ideal system performance at the cost of low system complexity.

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