A non-ranging Fusion Location Algorithm for Concave Regions

Author:

Tian Erlin

Funder

Scientific and Technological Project of Henan Province

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference24 articles.

1. Zhao, Z., Wang, X., & Wang, T. (2018). A novel measurement data classification algorithm based on SVM for tracking closely spaced targets. IEEE Transaction on Instrumentation Measurement, 99, 1–12.

2. Wei, Q., Zhong, D., & Han, J. (2014). Improved localisation method based on multi-hop distance unbiased estimation. IET Communication, 8(16), 2797–2804.

3. Magowe, K., Giorgetti, A., Kandeepan, S., & Yu, X. (2018). Accurate analysis of weighted centroid localization. IEEE Transactions on Cognitive Communications and Networking, 5(1), 153–164

4. Alıcı, G., Jagielski, R., Şekercioğlu, Y. A., & Shirinzadeh, B. (2006). Prediction of geometric errors of robot manipulators with Particle Swarm Optimisation method. Robotics on Automatic System, 54(12), 956–966.

5. Wang, Z., Zhang, B., Wang, X., Jin, X., & Bai, Y. (2018). Improvements of multihop localization algorithm for wireless sensor networks. IEEE System Journal, 99, 1–12.

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