基于混沌麻雀搜索算法的TDOA/FDOA定位

doi:10.13229/j.cnki.jdxbgxb20210200

Abstract

Abstract:

In the actual localization scenarios， the receiving station is usually installed on the moving platform， which leads to the random error in its moving state information. However， the target source location accuracy is very sensitive to the location information of the receiving station， and the small error in the location of the receiving station will lead to a large error in the estimation of the target source position. Therefore， considering the random error of the location information of the receiving station， a solution to locate the mobile source using the measured values of the time difference of arrival and the frequency difference of arrival is proposes in this paper. Logistic chaotic mapping is introduced into sparrow search algorithm to locate and track the target. Logistic chaotic mapping can reduce the risk of the algorithm convergence to local optimal， so as to solve the problem of poor localization accuracy in the case of low sensor position error. The analysis of simulation results shows that the accuracy of the proposed algorithm is closer to the Cramer-Rao lower bound than that of semi-definite programming and reformulation linearization technique（SDP-RLT）， genetic algorithm， sparrow search algorithm and ant colony algorithm under the condition of low sensor position error.

Key words: information processing technology, time difference of arrival, frequency difference of arrival, sparrow search algorithm, logistic chaotic mapping

CLC Number:

TP277

Qiang GUO,Guo-hui ZHU,Wan-chen LI. TDOA/FDOA localization based on chaotic sparrow search algorithm[J].Journal of Jilin University(Engineering and Technology Edition), 2023, 53(2): 593-600.

Figures/Tables 6

Fig.1

Fig.2

Table 1

Position and velocity of receiving station and target source"

接收站及近场源	$x i$	$y i$	$z i$	$x ˙ i$	$y ˙ i$	$z ˙ i$
1	300	100	150	30	-20	20
2	400	150	100	-30	10	20
3	300	500	200	10	-20	10
4	350	200	100	10	20	30
5	-100	-100	-100	-20	10	10
近场源	600	650	550	-20	15	40

Table 1

Fig.3

Fig.4

Fig.5

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TDOA/FDOA localization based on chaotic sparrow search algorithm

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