This paper considers the radar resource management problem in the cognitive radar for tracking multiple moving targets in the presence of jammers. Since the radar is not able to obtain the accurate information of the ...
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This paper considers the radar resource management problem in the cognitive radar for tracking multiple moving targets in the presence of jammers. Since the radar is not able to obtain the accurate information of the moving targets due to the jamming, we formulate this problem as a hybrid partially observed Markov decision process-based (HPOMDPbased) game model to exploit the statistical characteristics of the moving targets and the competition between the jammers and the radar. In contrast to the existing methods of radar resource management, this work considers two competitive decision makers in the environment of anti-jamming radar, and deduces a symmetry expression of the performance gradients of the jammers and the radar. A low complexity joint optimization algorithm is proposed to find the optimal anti-jamming policy of the radar. Numerical results show that the proposed algorithm can obtain accurate detection results in the presence of jammers.
This paper examines a target detection problem in colored Gaussian disturbance with an unknown covariance matrix. In many classic adaptive detectors, the covariance estimator is formed by using only the training data....
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Fingerprint recognition of network equipment is closely related to network security. Router equipment, as one of the critical device in network, is the key object of study on the recognition of networ
ISBN:
(纸本)9781467389808
Fingerprint recognition of network equipment is closely related to network security. Router equipment, as one of the critical device in network, is the key object of study on the recognition of networ
To improve location accuracy, a single-step localization algorithm by double fixed station, using the thought of "signal to position" is proposed to solve the problem of two-step conventional method's in...
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ISBN:
(纸本)9781510845541
To improve location accuracy, a single-step localization algorithm by double fixed station, using the thought of "signal to position" is proposed to solve the problem of two-step conventional method's information loss, since two-step conventional method divides in estimating intermediate parameter and geolocation. First, the observed signal model is analyzed and problem's mathematical model is generalized. Next, the cost function is formulated based on maximum likelihood estimator(MLE) and simplified as the maximal eigenvalue of hermite matrix. Then, the geographical location maps in twodimensional sector-grid based on angel of arrival(AOA), afterward, the algorithm process is introduced. Finally, simulation results demonstrated that the proposed DPD algorithm outperforms the two-step conventional algorithm in location accuracy, and when signal to noise ratio(SNR) of the same observed signals is-5 dB, the root mean squared error(RMSE) of proposed algorithm reduce the errors of 47% in typical scene.
This paper proposed a novel calibration algorithm for sensor position errors of moving sensors by using calibration emitters. The algorithm presented is based on time difference of arrival(TDOA) measurements received ...
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ISBN:
(纸本)9781510845541
This paper proposed a novel calibration algorithm for sensor position errors of moving sensors by using calibration emitters. The algorithm presented is based on time difference of arrival(TDOA) measurements received by sensor network with sensor position error. Firstly, the linear relation between sensor position errors and TDOA measurements is derived by Taylor's series expansion. Then, a linear minimum mean square error(LMMSE) estimator of sensor position errors is derived based on the linear model. At last, on the assumption that sensor position errors of moving sensors are steady in a short time, a sequential LMMSE algorithm for sensor position errors estimation is proposed. Simulation results demonstrate the good performance of the proposed algorithm.
Converting whisper to normal vocalized speech has been a hot research topic in speech signalprocessing area. A complete and large scale whisper database is a major basis for this task. In this paper, we propose a mul...
Converting whisper to normal vocalized speech has been a hot research topic in speech signalprocessing area. A complete and large scale whisper database is a major basis for this task. In this paper, we propose a multimodal whisper database in Chinese mandarin. A total of 103 syllables and 100 sentences were carefully selected. 5 male and 5 female participants pronounced the syllables and sentences in whisper and normal styles respectively, result in 4096 parallel speech utterances and 263, 849 frames of voicing face and lip image sequences. The beginning and ending sample point of each syllable were labeled both for speech signal and voicing face video. The lip region of interest were also extracted and provided in the proposed database. Experiments in various speech conversion tasks in different speech database show the effectiveness of the proposed multimodal whisper speech database.
Identification of splice site plays a key role for alternative splicing analysis. Many effective methods have been proposed over the past decades. However, there have still some limitations and need further improvemen...
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Segmentation of remote sensing image is the key technology of positioning system. Firstly, we transform the remote sensing image from RGB pace to Lab space. Then, three centres are iterated by using K- means algorithm...
Segmentation of remote sensing image is the key technology of positioning system. Firstly, we transform the remote sensing image from RGB pace to Lab space. Then, three centres are iterated by using K- means algorithm. Finally, in order to eliminate the influence, the closed operation of mathematical morphology is used to correct the segmented image. The results show that it can segment the road from the remote sensing image in lab mode, by using K-means clustering algorithm. Moreover, Lab mode is more suitable for k-mean than other modes.
Space security is facing unprecedented challenges with more and more crowded *** elements interferometry(CEI) is a new radio interference measurement technology,which can achieve high precision of angle measurement on...
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Space security is facing unprecedented challenges with more and more crowded *** elements interferometry(CEI) is a new radio interference measurement technology,which can achieve high precision of angle measurement on a short baseline,it is expected to be independent or combined with other method to open up a new area of orbit ***,the influence of time delay measurement and baseline length on angle estimation are analyzed;secondly,the theoretical modeling of the propagation error is carried out,and then the influence of the ionosphere and troposphere are simulated and analyzed;finally,the error of the measurement equipment is modeled,then the clock synchronization error,frequency error and location error are analyzed *** results have important effects on the next research and engineering application of CEI.
The radar echoes of space debris are weak and difficult to be *** at this problem,a distributed radar observation model is built combined with orbit characteristics of space debris,and a centralized CA-CFAR(constant f...
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The radar echoes of space debris are weak and difficult to be *** at this problem,a distributed radar observation model is built combined with orbit characteristics of space debris,and a centralized CA-CFAR(constant false alarm rate) detection method with incoherent integration is proposed for space debris ***,the space debris scattering property and echoes model are ***,the multistation centralized cooperative detection system is applied,and as the space noise environment is well relatively,a CA-CFAR detector is adopted that follows the traditional incoherent integration,which solves the problem that echoes parameter can’t be estimated correctly and is propitious to space debris *** with four radars shows that the method can improve detection probability of space debris by 40% compared with one radar when the SNR is 10 dB.
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