Differential Received Signal Strength-Based Localization for an Iso-gradient Sound Speed Profile with Unknown Transmitted Power | ||
| Journal of Communication Engineering | ||
| مقاله 11، دوره 10، شماره 1 - شماره پیاپی 20، فروردین 2021، صفحه 144-157 اصل مقاله (737.71 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22070/jce.2022.15937.1209 | ||
| نویسندگان | ||
| Saleheh Poursheikhali* 1؛ Hossein Zamiri-Jafarian2 | ||
| 1Marine Engineering Department, Chabahar Maritime University, Chabahar, Sistan and baloochestan. | ||
| 2Department of Electrical Engineering, Ferdowsi University of Mashhad. | ||
| چکیده | ||
| localization plays a significant role in lots of underwater applications. Underwater communications encounter critical challenges different from terrestrial wireless sensor networks. In this study, we focus on the challenges of the variable sound speed underwater and synchronization. Among localization approaches, the received signal strength (RSS) is cost-effective and, unlike time-based approaches is synchronization-free. In some applications, the source transmitted power is unknown or hard to obtain. While this parameter is required to be known in RSS-based approaches, it is not a requirement in differential RSS (DRSS) based approaches. Regarding these issues, in this paper, we propose a DRSS-based localization algorithm considering an iso-gradient sound speed profile in an underwater medium when the source transmitted power is unknown. To improve the received signals’ SNR, we use a network of sensor arrays where beamforming is conducted within each array. Then, DRSS values are calculated and the iterative DRSS-based localization algorithm is presented. We show the effectiveness of the proposed algorithm compared with the Array-RSS and the Array-TDOA algorithms via computer simulations. Results indicate that the Array-DRSS performs accurately when the source transmitted power is unknown. Moreover, it outperforms the Array-TDOA algorithm when low bandwidth is available. | ||
| کلیدواژهها | ||
| Asynchrony؛ Differential Received Signal Strength (DRSS)؛ Localization؛ Sound speed profile؛ Unknown transmitted power | ||
| مراجع | ||
|
1- L. F. Akyildiz, D. Pompili, and T. Melodia, “Underwater acoustic sensor networks: research challenges,” J. Ad hoc networks, vol. 3, no. 3, pp. 257-279, May 2005.
2- Z. Gong, C. Li, and F. Jiang, “A machine learning-based approach for auto-detection and localization of targets in underwater acoustic array networks,” IEEE Trans. Veh. Technol., vol. 69, no. 12, pp. 15857-66, Dec. 2020.
3- A. Datta and M. Dasgupta, “On accurate localization of sensor nodes in underwater sensor networks: A Doppler shift and modified genetic algorithm based localization technique,” Evol. Intell., vol. 14, no. 1, pp. 119-131, Mar. 2021.
4- S. Y. Hao, Y.Y. Yang, Y.J. Dong, X.X. Zhao, and J.X. Chen, “Particle Swarm and Monte Carlo Optimized Mobile Localization Algorithm in Underwater Acoustic Sensor Networks,” Acta Electon. Sin., vol. 49, no. 2, p. 292, Feb. 2021.
5- R. Shakila and B. Paramasivan, “An improved range based localization using Whale Optimization Algorithm in underwater wireless sensor network,” J. Ambient Intell. Humaniz. Comput., vol. 12, no. 6, pp. 6479-89, June 2021.
6- S. D. Correia, M. Beko, S. Tomic, and L.A. Cruz, “Energy-based acoustic localization by improved elephant herding optimization,” IEEE Access, vol. 8, pp. 28548-59, Feb. 2020.
7- S. Sivakumar and R. Venkatesan, “Error minimization in localization of wireless sensor networks using ant colony optimization,” Int. J. Comput. Appl., vol. 145, no. 8, pp. 15-21, July 2016.
8- L. Falahatpisheh, “Localization of Underwater Wireless Sensor Network Nodes Using Cuckoo Optimization Algorithm,” J. Adv. Comput. Res., vol. 10, no. 2, pp. 91-107, May 2019.
9- H. Ramezani and G. Leus, “Ranging in an underwater medium with multiple isogradient sound speed profile layers,” Sensors, vol. 12, no. 3, pp. 2996-3017, Mar. 2012.
10- H. Lohrasbipeydeh and T. A. Gulliver, “Improved RSSD-based source localization with unknown sensor position errors,” IEEE Wirel. Commun. Lett.,vol. 10, no. 9, pp. 1949-1953, June 2021.
11- H. Lohrasbipeydeh and T. A. Gulliver, “RSSD-based MSE-SDP source localization with unknown position estimation bias,” IEEE Trans. Commun.,vol. 69, no. 12, pp. 8416-8428, Sept. 2021.
12- H. Lohrasbipeydeh and T. A. Gulliver, “Robust Recursive RSSD Based Source Localization in Gaussian Mixture Channels,” IEEE Commun. Lett., vol. 24, no. 11, pp. 2498-2502, July 2020.
13- H. Lohrasbipeydeh and T. A. Gulliver, “Unknown RSSD based localization CRLB analysis with semidefinite programming,” IEEE Trans. Commun., vol. 67, no. 5, pp. 3791-3805, Jan. 2019.
14- J. Li, K. Doğançay, N. H. Nguyen, and Y. W. Law, “Reducing the Bias in DRSS-Based Localization: An Instrumental Variable Approach,” Proc. Eur. Signal Process. Conf. (EUSIPCO), pp. 1-5, Sept. 2019.
15- Y. Hu and G. Leus, “Robust differential received signal strength-based localization,” IEEE Trans. Signal Process., vol. 65, no. 12, pp. 3261-3276, Mar. 2017.
16- Y. Sun, X. Li, Z. Huang, and J. Tian, “An Improved Closed-Form Solution for Differential RSS-based Localization,” IEEE Radar Conf., pp. 1-5, Sept. 2020.
17- X. Mei, H. Wu, and J. Xian, “Matrix factorization based target localization via range measurements with uncertainty in transmit power,” IEEE Wirel. Commun. Lett., vol. 9, no. 10, pp. 1611–1615, May 2020.
18- P. Wang and Y. T. Morton, “Efficient Weighted Centroid Technique for Crowdsourcing GNSS RFI Localization Using Differential RSS,” IEEE Trans. Aerosp. Electron. Syst., vol. 56, no. 3, pp. 2471-2477, May 2019.
19- H. Lohrasbipeydeh, T. A. Gulliver, and H. Amindavar, “Unknown transmit power RSSD based source localization with sensor position uncertainty,” IEEE Trans. Commun., vol. 63, no. 5, pp. 1784-1797, Mar. 2015.
20- H. Lohrasbipeydeh, T. A. Gulliver and H. Amindavar, “Blind received signal strength difference based source localization with system parameter error,” IEEE Trans. Signal Process., vol. 62, no. 17, pp. 4516-4531, July 2014.
21- L. Lin, H. C. So, and Y. T. Chan, “Accurate and simple source localization using differential received signal strength,” Digit. Signal Process., vol. 23, no. 3, pp. 736-743, May 2013.
22- A. Heydari, and M. Aghabozorgi, “Joint RSSD/AOA Source Localization: Bias Analysis and Asymptotically Efficient Estimator,“ Wireless Pers. Commun.114, no. 3, pp. 2643-2661, Oct. 2020.
23- S. Chang, Y. Li, Y. He, and Y. Wu, “RSS-based target localization in underwater acoustic sensor networks via convex relaxation,” Sensors, vol. 19, no. 10, pp. 3906-3910, May 2019.
24- T. L. N. Nguyen and Y. Shin, “An efficient RSS localization for underwater wireless sensor networks,” Sensors, vol. 19, no. 14, pp. 3105–3121, July 2019.
25- S. Chang, Y. Li, Y. He, and H. Wang, “Target localization in underwater acoustic sensor networks using RSS measurements,” Appl. Sci., vol. 8, no. 2, pp. 225-237, Feb. 2018.
26-T. Xu, Y. Hu, B. Zhang, and G. Leus, “RSS-based sensor localization in underwater acoustic sensor networks,” Proc. ICASSP, pp. 3906-3910, Mar. 2016.
27- S. Poursheikhali and H. Zamiri-Jafarian, “Received signal strength based localization in inhomogeneous underwater medium,” Elsevier Signal Process., vol. 154, pp. 45-56, Jan. 2019.
28- S. Poursheikhali and H. Zamiri-Jafarian, “Source localization in inhomogeneous underwater medium using sensor arrays: Received signal strength approach,” Elsevier Signal Process., vol. 183, 108047, June 2021.
29- X. Mei, D. Han, N. Saeed, H. Wu, T. Ma, J. Xian, “Range Difference-based Target Localization under Stratification Effect and NLOS bias in UWSNs,” IEEE Wireless Commun. Lett., July 2022.
30-B. Zhang, H. Wang, T. Xu, L. Zheng, and Q. Yang, “Received signal strength-based underwater acoustic localization considering stratification effect,” Proc. IEEE OCEANS Conf., pp. 1-8, Apr. 2016.
31- S. Poursheikhali and H. Zamiri-jafarian, “Ranging in underwater wireless sensor network: received signal strength approach,” IEEE Wireless Commun. Netw. Conf. (WCNC), pp. 1–6, Apr. 2016.
32- H. Ramezani, H., Jamali-Rad and G. Leus, “Target localization and tracking for an isogradient sound speed profile,” IEEE Trans. Signal Process., vol. 61, no. 6, pp. 1434-1446, Mar. 2013. | ||
|
آمار تعداد مشاهده مقاله: 132 تعداد دریافت فایل اصل مقاله: 166 |
||