Position location in three-dimensional (3-D) scenarios is studied in bearing-only location system. Through mathematical calculation in 2-D scenarios, the relationship between location accuracy and observation geometry...
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In this paper, distributed data fusion for satellite passive localization is examined. The traditional single or multiple satellite passive localization systems usually use a fixed localization mode which commonly has...
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In this paper, distributed data fusion for satellite passive localization is examined. The traditional single or multiple satellite passive localization systems usually use a fixed localization mode which commonly has poor fault tolerance capability. We investigate a distributed passive localization scheme using angle only measurements from multiple satellites. However, recursive fusion algorithms are subject to different tradeoffs regarding their speed of convergence and convergence accuracy, and the satellite passive localization applications usually suffer large initial error. The convex combination is recently used to combine different adaptive filters to obtain better filtering performance than the original filters. To improve the fusion performance, data fusion algorithm using convex combination is developed based on sigma point Kalman filter(SPKF). Computer simulation experiments are performed to show the effectiveness of the proposed localization scheme and algorithm.
Enlightened by the combined method (CM) for traditional passive localization of ocean and air based applications, and considering that passive localization is a typical nonlinear filtering and optimal estimation probl...
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Enlightened by the combined method (CM) for traditional passive localization of ocean and air based applications, and considering that passive localization is a typical nonlinear filtering and optimal estimation problem, CM for single satellite passive localization is examined based on Particle swarm optimization(PSO), which provides an evolutionary computation method to solve the nonlinear optimal problem. However, PSO can not be straightforwardly applied to satellite passive localization because satellite passive localization is a constrained nonlinear optimal problem when using the constraint condition of the earth surface. We suggest calculating the particle swarm directly using the earth surface constraint, and the uncertainty of particle position can be resolved by the angle measurements. Computer simulation experiments are performed to validate the effectiveness of the proposed method.
The constant modulus algorithm (CMA) is one widely used algorithm for blind equalization of quadrature amplitude modulation (QAM) signals. The algorithm exhibits slow convergence rate and large steady state mean squar...
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The constant modulus algorithm (CMA) is one widely used algorithm for blind equalization of quadrature amplitude modulation (QAM) signals. The algorithm exhibits slow convergence rate and large steady state mean square error and the phase blind nature in comparison with the algorithms used in conventional data-aided equalization schemes. In this paper, a variable step size modified constant modulus algorithm is proposed. The proposed algorithm can achieve fast convergence rate and decrease steady state mean square error and correct phase shift and carrier frequency offset at the same time. The simulation results demonstrate the effectiveness of the proposed algorithm in improving convergence behavior and bit error rate performance.
The problem of protecting the GPS signal from interference is addressed. The power inversion algorithm (PI) used in GPS adaptive null-steering arrays is detailed presented. The algorithm based on LCMV rule, which simp...
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The empirical mode decomposition (EMD) method for analysing nonlinear and non-stationary data has attracted great research interests. Because, the PAMDS UWB signal which has the property of transient and low probab...
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The empirical mode decomposition (EMD) method for analysing nonlinear and non-stationary data has attracted great research interests. Because, the PAMDS UWB signal which has the property of transient and low probability of intercept (LPI) is non-stationary, in this paper, the EMD method is used to extract the weak impulse radio signal from noisy environment. The noisy PAM-DS ITWB signals are decomposed into a finite number of oscillatory modes known as intrinsic mode functions (IMFs) and a residue. Based on different time scale characteristic of the signal and noise, a majority of noise will be removed from signal by proper selection of IMFs. An efficient elimination of noise on UWB signal and a great improvement on Bit Error Rate (BER) are achieved by simulations.
It is unfeasible to analyze the security events by the manual way for the security manager, because the number of the events is huge and the information contained in the events is meaningless. After analyzing the exis...
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It is unfeasible to analyze the security events by the manual way for the security manager, because the number of the events is huge and the information contained in the events is meaningless. After analyzing the existing algorithms of security events correlation, we propose an attack scenario reconstruction technology based on state machine. The processes of attackers intruding into the cyberspace can be restored and the more comprehensive attack scenario description information will be generated using this technology. This working lets the security manager more comfy. The state machine based attack scenario reconstruction technology processes security events using clustering analysis and causal analysis concurrently, it builds a correlation state machine in memory for every attack scenario tree which is predefined by the security manager, when security events are coming, the certain state machines will process them, if the condition is satisfied, an attack scenario description information will be generated and then sent to the security manager. The correlating technology based on state machine is more timely and accurately, and at last, we use the DARPA2000 Intrusion Scenario Specific Data Sets to validate the technology, the experiment results show that it is feasible to analyze security events using the technology we proposed.
There many researches about modulation mode classification of the MPSK signals, but these studies pay few attentions to some especial MPSK signals such as OQPSK or π/4QPSK. However, the signals are very important in ...
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There many researches about modulation mode classification of the MPSK signals, but these studies pay few attentions to some especial MPSK signals such as OQPSK or π/4QPSK. However, the signals are very important in the digital communications. The method of classification of the QPSK, OQPSK, π/4QPSK and 8PSK has discussed in this paper, because these MPSK signals have similar constellations or spectrum. The method of the classification and parameter estimation based on the statistical and spectral characters of the instantaneous phase difference (IPD) is proposed. The simulation results of the digital signals indicate that this method is availability when the SNR is higher than 5dB.
The problem of protecting the GPS signal from interference is addressed. The power inversion algorithm (PI) used in GPS adaptive null-steering arrays is detailed presented. The algorithm based on LCMV rule, which simp...
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The problem of protecting the GPS signal from interference is addressed. The power inversion algorithm (PI) used in GPS adaptive null-steering arrays is detailed presented. The algorithm based on LCMV rule, which simple to implement and not computationally intensive, is useful because it does not require detailed knowledge about desired-signal structure or arrival angle. In this paper, Comprehensive characteristics attainable with a PI array are derived by sufficient analysis in theory, further more, well experimental results show the fine validity of the proposed characteristics.
Because of strong coupling, nonlinear, and time-varying characteristics, it is difficult to control complex spacecraft. By means of combining with controlled object dynamics and performance requirements, characteristi...
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Because of strong coupling, nonlinear, and time-varying characteristics, it is difficult to control complex spacecraft. By means of combining with controlled object dynamics and performance requirements, characteristic modeling and control approach is an effective way to solve this problem. Aimed at the flexible satellites described by using characteristic modeling approach, with the help of fuzzy rules, fuzzy dynamic characteristic modeling method and intelligent adaptive controller are designed to control this complex spacecraft. Meanwhile, based on the satellite system simulation platform, we validate the correctness and efficiency of the proposed modeling and control method by comparing with the simulation results of the other similar methods.
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