Effect of biased estimation on radar-to-ESM track association

Zhang, Xiangyu; Tan, Shuncheng

doi:10.1109/jsee.2012.00024

Cited by 8 publications

(10 citation statements)

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“…Performance comparisons are made between the proposed algorithm and the competing algorithms, including algorithm of reference [10, 15]. The association performance is evaluated by the average probability of correct association [17]

P_{C} = \frac{1}{MK} {false\sum}_{i = 1}^{M} \sum_{t = 1}^{K} \frac{N_{C}^{i} (t)}{N^{'} (t)}

where

N^{normal′}

denotes the total number of common targets,

N_{C}^{i}

denotes the correctly associated targets number at the i th Monte–Carlo run.…”

Section: Simulation and Analysismentioning

confidence: 99%

“…The maximum and sub‐maximum synthesis similarity must be considered with the disadvantages of leakage association errors. In [9, 10], target tracking is performed in the Cartesian coordinate system, position and velocity are utilised to construct statistics for track association. However, it needs a certain manoeuvre between sensor and the target for non‐divergence in the filtering process.…”

Section: Introductionmentioning

confidence: 99%

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Radar/ESM anti‐bias track association algorithm based on track distance vector detection

Dong

Huang

et al. 2019

J. eng.

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P_{C} = \frac{1}{MK} {false\sum}_{i = 1}^{M} \sum_{t = 1}^{K} \frac{N_{C}^{i} (t)}{N^{'} (t)}

where

N^{normal′}

denotes the total number of common targets,

N_{C}^{i}

denotes the correctly associated targets number at the i th Monte–Carlo run.…”

Section: Simulation and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Radar/ESM anti‐bias track association algorithm based on track distance vector detection

Dong

Huang

et al. 2019

J. eng.

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“…Without radiating energy, passive sensors, such as infrared (IR) and electronic support measure (ESM) have a good stealth performance. The synergy of passive sensors and active sensors can effectively reduce the radiation energy and also become an implementation of LPI [4], [5], [6], [7].…”

Section: Introductionmentioning

confidence: 99%

“…Though the cooperation tracking of multiple sensors has been researched by lots of academics in recent years, most of these researches are limited to one single aircraft platform [4], [5]. And even some studies in multiple platforms cooperation only involves radars [6], [7], without considering the utilization of passive sensors.…”

Section: Introductionmentioning

confidence: 99%

A novel radar radiation control strategy based on passive tracking in multiple aircraft platforms

Wang

Zhou

Shi

2014

2014 IEEE China Summit &Amp; International Conference on Signal and Information Processing (ChinaSIP)

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This paper proposes a radar radiation control method based on cooperation tracking of multiple sensors. The main idea of the method is passive tracking in multiple platforms is used preferentially, while radar tracks target timely according to the tracking accuracy. In this paper, a tracking accuracy metric called interactive multiple model predicted covariance (IMMPC) is derived by IMM-EKF algorithm. By comparing with the pre-defined threshold, whether or not the radar transmitter radiates energy is determined. Simulation results show that the proposed radiation control method can reduce the radar radiation times effectively and have a good performance of low probability of interception (LPI).

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“…Track-to-trackassociatio n problem (You et al, 1996;Singer and Kanyuck, 1971;Bar-Shalom and Fortmann, 1988;Gul, 1994;Kosoka, 1983;You et al, 1989;Bowman, 1979;Chang and Youens, 1982;Bar-Shalom and Chen, 2004;Kaplan et al, 2008;Tian and BarShalom, 2011;Bar-Shalom and Campo, 1986;Mori et al, 2011;Osbome et al, 2011;Wang et al, 2012;La Scala and Farina, 2002; Bar-Shalom, 2008) is a crux of distributed multisensor system. It's a problem of how to decide whether two tracks coming from different sensor systems represent the same target.…”

Section: Introductionmentioning

confidence: 99%

New Track-to-Track Correlation Algorithms Based on Bithreshold in a Distributed Multisensor Information Fusion System

A¹

2013

Journal of Computer Science

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Track-to-Track correlation (or association) is an ongoing area of interest in the field of distributed multisensory information fusion. In order to perform accurately identifying tracks with common origin and get fast convergence, this study presents independent and dependent Bi-threshold Track Correlation Algorithms (called BTCAs), which are described in detail and the track correlation mass and multivalency processing methods are discussed as well. Then, Based on BTCAs, two modified Bithreshold Track Correlation Algorithms with average Test Statistic (called BTCA-TSs) are proposed. Finally, simulations are designed to compare the correlation performance of these algorithms with that of Singer's and Bar-Shalom's algorithms. The simulation results show that the performance of these algorithms proposed in this study is much better than that of the classical methods under the environments of dense targets, interfering, noise and track cross and so on.

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Effect of biased estimation on radar-to-ESM track association

Cited by 8 publications

References 0 publications

Radar/ESM anti‐bias track association algorithm based on track distance vector detection

Radar/ESM anti‐bias track association algorithm based on track distance vector detection

A novel radar radiation control strategy based on passive tracking in multiple aircraft platforms

New Track-to-Track Correlation Algorithms Based on Bithreshold in a Distributed Multisensor Information Fusion System

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