Guo F.,PLA 91550 |
Guo F.,Dalian University of Technology
Proceedings - 2015 International Conference on Computer Science and Mechanical Automation, CSMA 2015 | Year: 2015
Hereby a telemetry signal noise cancellation method which the reference noise is obtained by using the time series analysis was proposed. In flight test, the telemetry signal is usually single channel signal, and the noise cancellation method is lack of reference noise, thus the noise cancellation method cannot be used in the processing directly. By analyzing the time series of the flight test process, we can take the stationary stage signal as the reference noise, and use it to process the feature stage signal for noise cancellation. This method can use the noise cancellation method in the processing for telemetry signal, which can effectively improve the SNR (signal to noise ratio) to lay the foundation for the subsequent processing of the signal. Simulation signal and the high frequency vibration signal processing in the test of a flight test proves the validity of the proposed method. © 2015 IEEE.
Xiao Y.,Dalian University |
Li Z.,PLA 91550
Key Engineering Materials | Year: 2011
Step-size is one of the important parameters which influence the performance of blind equalization, a variable step-size method control by attenuation function according to instantaneous gradient and iterative times is proposed in this paper. Initially, set larger step-size to obtain faster convergence, with iterative times increasing, step-size would decrease control by attenuation function for instantaneous gradient reducing. Step-size changes according to this method consistent with the demand variable step-size adaptive algorithm that can obtain combination of convergence rate and convergence precision to improve the performance of blind equalization. Simulations show that this method performs better than conventional blind equalization with constant step-size. © (2011) Trans Tech Publications.
Zhang W.,PLA 91550
Applied Mechanics and Materials | Year: 2014
The exterior ballistic measurement is the basis of the precision analysis for the vehicle experiment, and the distribution geometry of the velocity measurement system has important influence on the estimation precision of the exterior ballistic measurement data. This paper proposed an optimization method for distribution geometry of the velocity measurement device by PSO, and the optimized project under the unconstrained and constrained which the alternative sites have been given is obtained. The simulation results show the effectiveness of the optimization method for distribution geometry. © (2014) Trans Tech Publications, Switzerland.
Zheng X.-B.,Tsinghua University |
Dong J.-X.,Tsinghua University |
Zhang Z.-G.,PLA 91550 |
Meng L.-J.,PLA 91550
Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology | Year: 2011
A target-firing simulation statistical method based on guidance instrument error was designed to acquire fall point dispersion evaluation of ballistic missile through Monte-Carlo before test. First, the error transfer equations from guidance instrument error to boost-phase end point error was founded, and the environment function matrix including 18 parameters was framed. Then, the elliptical orbit theory was applied to convert boost-phase end point error into fall point error. At last, a statistical test model was established for estimating fall point dispersion based on prior test information in range. A series of quasi-random numbers were generated and sampled, and their parameters, uniformity and randomicity were verified. The target-firing simulation test was carried out by using unit test data of range, and the estimation value and confidence interval of fall point CEP and dispersion was gained. The flight test results approve the feasibility of this method.
Peng T.,PLA 91550 |
Zhang Q.,PLA 91550 |
Chen R.,Dalian Maritime University
Advanced Materials Research | Year: 2012
The main idea behind this paper is the use of cheap one-level pointer analysis information to achieve better results in the context of dependency-based program debugging. We model java programs by a points-to graph with annotations in the form of constraints, derive the inner logical representation deriving from this model, and use them to debug faults in input programs. Our analysis and the empirical results show that we can achieve better results in the context of dependency-based software debugging. © (2012) Trans Tech Publications, Switzerland.