Abstract
Using the mathematical apparatus of the extended Kalman Filter, the recurrent algorithm of the passive location in sensor networks — based on the Time Difference of Arrival method in case of correlated errors of measurements — is developed. The initial estimates of Radio Frequency Sources coordinates and the correlation matrix of the vector estimation are determined based on the method of the least squares in case of 3 difference measurement distances. Efficiency analysis of recurrent adaptive algorithm and its comparison with the quadratic correction one are performed by statistical modeling. A comparison of them with the lower limit of the Cramer-Rao was carried out. The implementation of the recurrent adaptive algorithm requires 2.7 times less computational cost than the quadratic correction one.
Highlights
The problem of passive position determination of Radio Frequency Sources (RFS) is widely met in the monitoring of the surrounding space, disaster management, in intelligent transport and security systems
One of the main approaches of passive position determination of RFS is based on the application of the Time Difference of Arrival method (TDOA), which uses the time difference of reception of signals received by the various sensors and the network reference sensor
The accuracy of determining the RFS coordinates based on the TDOA depends on the errors from measuring time signal reception sensors of the sensor network
Summary
The problem of passive position determination of Radio Frequency Sources (RFS) is widely met in the monitoring of the surrounding space, disaster management, in intelligent transport and security systems. One of the main approaches of passive position determination of RFS is based on the application of the Time Difference of Arrival method (TDOA), which uses the time difference of reception of signals received by the various sensors and the network reference sensor. This method has a significant advantage in the ease of implementation, being widely used in practice ITU (2014). The accuracy of determining the RFS coordinates based on the TDOA depends on the errors from measuring time signal reception sensors of the sensor network. Manag., São José dos Campos, Vol., No 4, pp.489494, Oct.-Dec., 2017
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