Chen Yongguang

Grey Distance Information Approach for Parameter Estimation of Small Samples

Parameter estimation of small samples is a valuable research problem in various test domains. Because of the complexity in determining the probability distribution, it is difficult to use a traditional probability theory to process the samples and assess the degree of uncertainty. Based on the grey relational theory and the norm theory, the grey distance information approach for small-sample processing is proposed. The correlative problems, including the definitions and the characteristics of the grey distance information quantity and the average grey distance information quantity, the point estimation and the confidence interval estimation algorithm, and the acceptance and rejection criteria of the samples, are also proposed. In addition, the information whitening ratio is introduced to select the weight algorithm and to compare the different sample sets. Several examples are given to demonstrate the application of the proposed approach. The examples show that the proposed approach, which has no demand for the probability distribution of small samples, is feasible and effective.

Data processing of small samples based on grey distance information approach

Abstract Data processing of small samples is an important and valuable research problem in the electronic equipment test. Because it is dificult and complex to determine the probability distribution of small samples, it is dificult to use the traditional probability theory to process the samples and assess the degree of uncertainty. Using the grey relational theory and the norm theory, the grey distance information approach, which is based on the grey distance information quantity of a sample and the average grey distance information quantity of the samples, is proposed in this article. The deffnitions of the grey distance information quantity of a sample and the average grey distance information quantity of the samples, with their characteristics and algorithms, are introduced. The correlative problems, including the algorithm of estimated value, the standard deviation, and the acceptance and rejection criteria of the samples and estimated results, are also proposed. Moreover, the information whitening ratio is introduced to select the weight algorithm and to compare the difierent samples. Several examples are given to demonstrate the application of the proposed approach. The examples show that the proposed approach, which has no demand for the probability distribution of small samples, is feasible and effective.

Passive location and tracking algorithm based on TOA and azimuth measurements for 3-D moving targets

This paper presents an algorithm based on TOA (time of arrival) and azimuth measurements. The location principle and feasibility of the technique are analysed in detail. For some bistatic radar systems with receivers which locate and track 3-D moving targets by means of a passive method, it is sometimes difficult to measure the pitch angle of targets. The algorithm proposed is of great importance to the practicability of bistatic passive location and tracking systems. With the help of computer simulation, the performance of this algorithm is evaluated for typical target paths according to Monte Carlo methods.<<ETX>>

A novel situation analysis method of electronic countermeasure based on unascertained rational number

Quantitative situation analysis and assessment of electronic countermeasure is one of the most important goals of researches on mission programming of electronic countermeasure equipment. But most references focused on total assessment of countermeasure situation, instead of specific analysis. A novel situation analysis method of electronic countermeasure that is based on unascertained rational number was proposed in the paper. The description model of situation data and the specific analysis model were introduced, which was presented by the simulation of the situation analysis of electronic jamming scene. The results show that the proposed method is rational and valid. It can analyze both countermeasure situation of electronic equipment concretely and quantitatively.

Information fusion for multiple targets tracking in bistatic system

The paper emphatically studies the way for solving the problem of track confusion in multiple targets tracking by using message fusion technique. The discussion is on the basis of measurement data of practical bistatic systems. At first the paper introduces the association algorithm used for multiple targets tracking in bistatic systems and points out that track confusion easily happens if dynamic state parameters are the only ones used for association process. Then it gives several association methods fusing data of target state, Doppler frequency (F/sub ds/) and radar cross-section (RCS). After analyzing characteristics of F/sub ds/ and RCS data, the paper suggests two fusion modes-cascade fusion and parallel fusion. Both modes can decide whether or not to use F/sub ds/ data according to its change. From one hundred statistical results it is clear that track confusion frequency drops greatly when using data fusion techniques.

Location and tracking of bistatic system in jamming

Under the condition of jamming the number of usable measurements in a T/R-R bistatic system is variable. Therefore it is necessary to study some location and tracking algorithms concerning different sets of measurement data. The multi-stage tracking technique proposed makes full use of measurement data in T/R and R stations under different condition of jamming, as a result the tracking precision of 3-D moving targets is increased. The performance of these algorithms is evaluated with the help of computer simulation for typical target paths.

A study on multi-stage tracking technique in T/R-R bistatic system

When the communication link of a T/R-R bistatic radar system is affected by external interference, the number of usable measurements in it is variable. Therefore it is necessary to study some tracking algorithms concerning with different sets of measurement data. The multi-stage tracking technique proposed in the paper makes full use of measurement data in T/R and R station under different condition, as a result the tracking precision of 3-D moving targets is increased. The performance of these algorithms is evaluated with the help of computer simulation for typical target paths.

A new algorithm for multiple targets tracking in bistatic radar system

This paper presents an algorithm for multiple targets tracking. The bistatic radar system proposed in the paper contains a T/R station and a R station. Generally the T/R station provides data such as azimuth angle and distance of a target while the R station has measurement of azimuth angle and distance sum of the target. After coordinate conversion and target locating the measurement data is converted into 3-D coordinate position of the target. In order to track multi-targets it is important to select data association method. In the paper according to conditions of real-time system we accomplish multiple targets tracking in two stages. In the first stage the locating data of a target is used to do association with every target data stored in last tracking cycle. It is necessary to finish this stage as soon as we get the targets locating data due to the demand of real-time system. However association error sometimes happens in stage one. Therefore we decide to test the association result of stage one. When R station passes the observation field in every cycle, the second tracking stage begins so as to correct the association result of stage one. It has proved that the performance of T/R-R system m multiple targets tracking is greatly improved because of the new tracking algorithm discussed in this paper.

Grey Relational Evaluation of Electronic Equipment Effectiveness Based on Ideal Reference Sequence

Evaluating the combat effectiveness of electronic equipment is an important research task. Due to the incomplete information, the data which is used for effectiveness evaluation is regarded as the uncertain grey number according to the grey system theory. Based on the positive and negative ideal sequence, a grey relational analysis model for the combat effectiveness evaluation of electronic equipment is introduced. And the relevant grey relational analysis algorithm is established also. The effectiveness value is acquired through an optimal function which maximizes the combat effectiveness of the equipment. Then the evaluation distinguishing coefficient is defined to compare the effectiveness evaluation model and algorithm. The simulation example shows the rationality and feasibility of the proposed method. This method can accurately rank the combat effectiveness of electronic equipment so that the best equipment can be chosen

Bistatic location and tracking based on intermittent data fusion

This paper presents an algorithm based on delta TOA and azimuth measurements of the receiver station, together with the intermittent height data of the T/R station, for 3-D location and tracking of moving targets in a bistatic radar system. The location principle of the technique is analyzed in detail. In the condition of jamming it is sometimes difficult for a T/R station to transmit its information to the receiver continuously for data fusion. Therefore it is necessary to study the way of how to use intermittent data. The purpose is to increase the tracking precision in height direction when only using measurement data of the two-coordinate receiver. The significance of this method is that the presence frequency of opponent countermeasure can be effectively decreased, then it becomes possible for the bistatic system to increase its location and tracking precision by using redundancy of its measurement completely. With the help of computer simulation, this paper evaluates the performance of this algorithm for three typical target paths.