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In the passive localization, the estimate error of sensor position and velocity is inevitable. By the use of the calibration, the sensor position and velocity will be improved, especially, to the Cramer-Rao lower bound (CRLB) under the ideal circumstance. The CRLB for the estimate of sensor position and velocity is derived at beginning. Then the CRLB for the estimate of source is followed. Finally,...
In this paper, we propose a novel measure: Local Patches Based Maximum Mean Discrepancy (LPMMD). Based on the above measure, we also propose a novel feature extraction method: A Local Domain Adaptation Feature Extraction Method (LDAFE), which not only fulfills the transfer learning task, but also has a certain local learning capability. The LDAFE can complete traditional feature extraction as well...
In this paper, by utilizing the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements of a signal received at a number of receivers, an efficient constrained weighted least-squares (CWLS) algorithm for estimating the position and velocity of a moving source is proposed, which exploits the known relation between the intermediate variable and the source location coordinates...
With its direction to decentralization, network and intelligence, field bus control system based on CAN has been applied more and more widely to the industrial control field. Aimed at solving the problems in the controlling process of pulp concentration based on analog instruments such as low precision and stability, high power consumption and excessive maintenance cost, an intelligent transmitter...
This paper focuses on the issues about the complex relations in large-scale FCM, and then proposes a promising method for weight global optimization with local inference to analyze and predict indexes in Anhui sci-tech progress monitor system. Firstly, a new concept, unbalanced degree, is introduced for standard evaluation in FCM model to modify the weight assessment factors and result in the satisfied...
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