Testability plays an important role in improving the readiness and decreasing the lifecycle cost of equipment. Testability demonstration and evaluation is of significance in measuring such testability indexes as fault...Testability plays an important role in improving the readiness and decreasing the lifecycle cost of equipment. Testability demonstration and evaluation is of significance in measuring such testability indexes as fault detection rate（FDR） and fault isolation rate（FIR）, which is useful to the producer in mastering the testability level and improving the testability design, and helpful to the consumer in making purchase decisions. Aiming at the problems with a small sample of testability demonstration test data（TDTD） such as low evaluation confidence and inaccurate result, a testability evaluation method is proposed based on the prior information of multiple sources and Bayes theory. Firstly, the types of prior information are analyzed. The maximum entropy method is applied to the prior information with the mean and interval estimate forms on the testability index to obtain the parameters of prior probability density function（PDF）, and the empirical Bayesian method is used to get the parameters for the prior information with a success-fail form. Then, a parametrical data consistency check method is used to check the compatibility between all the sources of prior information and TDTD. For the prior information to pass the check, the prior credibility is calculated. A mixed prior distribution is formed based on the prior PDFs and the corresponding credibility. The Bayesian posterior distribution model is acquired with the mixed prior distribution and TDTD, based on which the point and interval estimates are calculated.Finally, examples of a flying control system are used to verify the proposed method. The results show that the proposed method is feasible and effective.展开更多
In this paper, the Multiple Input Multiple Output (MIMO) doubly-iterative receiver which consists of the Probabilistic Data Association detector (PDA) and Low-Density Parity-Check Code (LDPC) decoder is developed. The...In this paper, the Multiple Input Multiple Output (MIMO) doubly-iterative receiver which consists of the Probabilistic Data Association detector (PDA) and Low-Density Parity-Check Code (LDPC) decoder is developed. The receiver performs two iterative decoding loops. In the outer loop, the soft information is exchanged between the PDA detector and the LDPC decoder. In the inner loop, it is exchanged between variable node and check node decoders inside the LDPC decoder. On the light of the Extrinsic Information Transfer (EXIT) chart technique, an LDPC code degree profile optimization algorithm is developed for the doubly-iterative receiver. Simulation results show the doubly-receiver with optimized irregular LDPC code can have a better performance than the one with the regular one.展开更多
本文改进了概率数据辅助(probabilistic data association,PDA)算法,将其应用于MIMO(multiple-input multi- ple-output)系统中,并提出了一种partial-PDA+LDPC联合检测算法,比PDA+LDPC联合检测算法的计算复杂度更低。计算机仿真结果显示...本文改进了概率数据辅助(probabilistic data association,PDA)算法,将其应用于MIMO(multiple-input multi- ple-output)系统中,并提出了一种partial-PDA+LDPC联合检测算法,比PDA+LDPC联合检测算法的计算复杂度更低。计算机仿真结果显示,partial-PDA+LDPC联合检测算法能够取得非常接近于PDA+LDPC联合检测算法的系统性能。展开更多
局域增强系统(L oca l A rea A ugm en ta tion System,LAA S)是美国联邦航空局(F ed era l A v ia tion A d-m in istra tion,FAA)开发的G PS地基增强系统,支持G PS差分精密进近和着陆.多基准一致性检测是LAA S地面完好性监测的核心算...局域增强系统(L oca l A rea A ugm en ta tion System,LAA S)是美国联邦航空局(F ed era l A v ia tion A d-m in istra tion,FAA)开发的G PS地基增强系统,支持G PS差分精密进近和着陆.多基准一致性检测是LAA S地面完好性监测的核心算法.多基准一致性检测通过对伪距校正误差的测试和评估,保证了LAA S地面系统发布的伪距校正量误差不超出一个给定的范围.本文详细讨论了LAA S完好性监测模型中多基准一致性检测算法的B值的含义,并通过实验分析了B值的范围和阈值的选取.结果表明:在正常无故障情况下,B值的大小稳定在一个较小的范围内变化.一旦发生故障,通过阈值的限制就能检测出B值异常的情况.展开更多
基金co-supported by the National Natural Science Foundation of China(No.51105369)Shanghai Aerospace Science and Technology Foundation(No.SAST201313)
文摘Testability plays an important role in improving the readiness and decreasing the lifecycle cost of equipment. Testability demonstration and evaluation is of significance in measuring such testability indexes as fault detection rate（FDR） and fault isolation rate（FIR）, which is useful to the producer in mastering the testability level and improving the testability design, and helpful to the consumer in making purchase decisions. Aiming at the problems with a small sample of testability demonstration test data（TDTD） such as low evaluation confidence and inaccurate result, a testability evaluation method is proposed based on the prior information of multiple sources and Bayes theory. Firstly, the types of prior information are analyzed. The maximum entropy method is applied to the prior information with the mean and interval estimate forms on the testability index to obtain the parameters of prior probability density function（PDF）, and the empirical Bayesian method is used to get the parameters for the prior information with a success-fail form. Then, a parametrical data consistency check method is used to check the compatibility between all the sources of prior information and TDTD. For the prior information to pass the check, the prior credibility is calculated. A mixed prior distribution is formed based on the prior PDFs and the corresponding credibility. The Bayesian posterior distribution model is acquired with the mixed prior distribution and TDTD, based on which the point and interval estimates are calculated.Finally, examples of a flying control system are used to verify the proposed method. The results show that the proposed method is feasible and effective.
基金Supported by the National Natural Science Foundation of China (No. 60772061)Science Foundation of Nanjing University of Posts and Telecommunications (No. NY207132)
文摘In this paper, the Multiple Input Multiple Output (MIMO) doubly-iterative receiver which consists of the Probabilistic Data Association detector (PDA) and Low-Density Parity-Check Code (LDPC) decoder is developed. The receiver performs two iterative decoding loops. In the outer loop, the soft information is exchanged between the PDA detector and the LDPC decoder. In the inner loop, it is exchanged between variable node and check node decoders inside the LDPC decoder. On the light of the Extrinsic Information Transfer (EXIT) chart technique, an LDPC code degree profile optimization algorithm is developed for the doubly-iterative receiver. Simulation results show the doubly-receiver with optimized irregular LDPC code can have a better performance than the one with the regular one.
文摘本文改进了概率数据辅助(probabilistic data association,PDA)算法,将其应用于MIMO(multiple-input multi- ple-output)系统中,并提出了一种partial-PDA+LDPC联合检测算法,比PDA+LDPC联合检测算法的计算复杂度更低。计算机仿真结果显示,partial-PDA+LDPC联合检测算法能够取得非常接近于PDA+LDPC联合检测算法的系统性能。
文摘局域增强系统(L oca l A rea A ugm en ta tion System,LAA S)是美国联邦航空局(F ed era l A v ia tion A d-m in istra tion,FAA)开发的G PS地基增强系统,支持G PS差分精密进近和着陆.多基准一致性检测是LAA S地面完好性监测的核心算法.多基准一致性检测通过对伪距校正误差的测试和评估,保证了LAA S地面系统发布的伪距校正量误差不超出一个给定的范围.本文详细讨论了LAA S完好性监测模型中多基准一致性检测算法的B值的含义,并通过实验分析了B值的范围和阈值的选取.结果表明:在正常无故障情况下,B值的大小稳定在一个较小的范围内变化.一旦发生故障,通过阈值的限制就能检测出B值异常的情况.
