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CLC number: TN929

On-line Access: 2017-02-10

Received: 2015-09-26

Revision Accepted: 2016-01-09

Crosschecked: 2017-01-03

Cited: 3

Clicked: 6758

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Shafqat Ullah Khan

http://orcid.org/0000-0003-1969-1289

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Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.2 P.235-245

http://doi.org/10.1631/FITEE.1500315


Detecting faulty sensors in an array using symmetrical structure and cultural algorithm hybridized with differential evolution


Author(s):  Shafqat Ullah Khan, Ijaz Mansoor Qureshi, Fawad Zaman, Wasim Khan

Affiliation(s):  School of Engineering & Applied Sciences, ISRA University, Islamabad 44000, Pakistan; more

Corresponding email(s):   shafqatphy@yahoo.com

Key Words:  Cultural algorithm, Differential evolution, Linear symmetrical sensor array


Shafqat Ullah Khan, Ijaz Mansoor Qureshi, Fawad Zaman, Wasim Khan. Detecting faulty sensors in an array using symmetrical structure and cultural algorithm hybridized with differential evolution[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(2): 235-245.

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Abstract: 
The detection of fully and partially defective sensors in a linear array composed of N sensors is addressed. First, the symmetrical structure of a linear array is proposed. Second, a hybrid technique based on the cultural algorithm with differential evolution is developed. The symmetrical structure has two advantages: (1) Instead of finding all damaged patterns, only (N–1)/2 patterns are needed; (2) We are required to scan the region from 0 to 90° instead of from 0 to 180°. Obviously, the computational complexity can be reduced. Monte Carlo simulations were carried out to validate the performance of the proposed scheme, compared with existing methods in terms of computational time and mean square error.

The paper presents a methodology to overcome sensor failures. The paper is well written and technically sound.

利用对称结构和结合差分进化的文化算法检测阵列中的故障传感器

概要:本文解决了从N个传感器组成的线性阵列中检测完全或部分缺陷传感器的问题。本文首先提出了一种线性阵列的对称结构,其次,基于结合差分进化的文化算法,建立了一种混合技术。对称结构具有两个优点:(1)不需要找到所有损坏的模式,仅需找到(N−1)/2个必需模式;(2)不需要扫描0°到180°区域,仅需扫描0°到90°区域。显然,这样可以减少计算的复杂度。通过Monte Carlo模拟对该方案性能进行了验证,并在计算时间和均方误差方面与现有方法进行了比较。

关键词:文化算法;差分进化;线性对称传感器阵列

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Becerra, R.L., Coello, C.A.C., 2006. Cultured differential evolution for constrained optimization. Comput. Method Appl. Mech. Eng., 195(33-36):4303-4322.

[2]Bucci, O.M., Capozzoli, A., de Elia, G., 2000. Diagnosis of array faults from far-field amplitude-only data. IEEE Trans. Antennas Propag., 48(5):647-652.

[3]Choudhury, B., Acharya, O.P., Patnaik, A., 2013. Bacteria foraging optimization in antenna engineering: an application to array fault finding. Int. J. RF Microw. Comput.-Aid. Eng., 23(2):141-148.

[4]Das, S., Konar, A., 2006. Two-dimensional IIR filter design with modern search heuristics: a comparative study. Int. J. Comput. Intell. Appl., 6(3):329-355.

[5]Fonollosa, J., Vergara, A., Huerta, R., 2013. Algorithmic mitigation of sensor failure: is sensor replacement really necessary Sens. Actuat. B., 183:211-221.

[6]Jin, X.D., Reynolds, R.G., 1999. Using knowledge-based evolutionary computation to solve nonlinear constraint optimization problems: a cultural algorithm approach. Proc. Congress on Evolutionary Computation, p.1672-1678.

[7]Khan, S.U., Qureshi, I.M., Zaman, F., et al., 2013. Null placement and sidelobe suppression in failed array using symmetrical element failure technique and hybrid heuristic computation. Prog. Electromagn. Res. B, 52:165-184.

[8]Khan, S.U., Qureshi, I.M., Zaman, F., et al., 2014. Correction of faulty sensors in phased array radars using symmetrical sensor failure technique and cultural algorithm with differential evolution. Sci. World J., 2014:852539.

[9]Khan, S.U., Qureshi, I.M., Naveed, A., et al., 2015. Detection of defective sensors in phased array using compressed sensing and hybrid genetic algorithm. J. Sens., 501: 718914.

[10]Mailloux, R.J., 1996. Array failure correction with a digitally beamformed array. IEEE Trans. Antennas Propag., 44(12):1543-1550.

[11]Oliveri, G., Donelli, M., Massa, A., 2009. Linear array thinning exploiting almost difference sets. IEEE Trans. Antennas Propag., 57(12):3800-3812.

[12]Oliveri, G., Manica, L., Massa, A., 2010. ADS-based guidelines for thinned planar arrays. IEEE Trans. Antennas Propag., 58(6):1935-1948.

[13]Patnaik, A., Choudhury, B., Pradhan, P., et al., 2007. An ANN application for fault finding in antenna arrays. IEEE Trans. Antennas Propag., 55(3):775-777.

[14]Reynolds, R.G., 1994. An introduction to cultural algorithms. Proc. 3rd Annual Conf. on Evolutionary Programming, p.131-139.

[15]Reynolds, R.G., Chung, C.J., 1996a. A self-adaptive approach to representation shifts in cultural algorithms. Proc. IEEE Int. Conf. on Evolutionary Computation, p.94-99.

[16]Reynolds, R.G., Chung, C.J., 1996b. The use of cultural algorithms to evolve multiagent cooperation. Proc. Micro-Robot World Cup Soccer Tournament, p.53-56.

[17]Reynolds, R.G., Peng, B., 2005. Knowledge learning and social swarms in cultural systems. J. Math. Sociol., 29(2): 115-132.

[18]Rodríguez-González, J.A., Ares-Pena, F., Palacios, H., et al., 2000. Finding defective elements in planar arrays using genetic algorithms. Prog. Electromagn. Res., 29:25-37.

[19]Rodríguez-González, J.A., Ares-Pena, F., Fernández-Delgado, M., et al., 2009. Rapid method for finding faulty elements in antenna arrays using far field pattern samples. IEEE Trans. Antennas Propag., 57(6):1679-1683.

[20]Rogalsky, T., Kocabiyik, S., Derksen, R.W., 2000. Differential evolution in aerodynamic optimization. Can. Aeronaut. Space J., 46(4):183-190.

[21]Storn, R., Price, K., 1997. Differential evolution: a simple and efficient adaptive scheme for global optimization over continuous spaces. J. Glob. Optim., 11(4):341-359.

[22]Wolff, I., 1937. Determination of the radiating system which will produce a specified directional characteristic. Proc. Inst. Radio Eng., 25(5):630-643.

[23]Xu, N., Christodoulou, C.G., Barbin, S.E., et al., 2007. Detecting failure of antenna array elements using machine learning optimization. IEEE Antennas and Propagation Society Int. Symp., p.5753-5756.

[24]Yeo, B.K., Lu, Y.L., 1999. Array failure correction with a genetic algorithm. IEEE Trans. Antennas Propag., 47(5):823-828.

[25]Zaman, F., Qureshi, I.M., Naveed, A., et al., 2012a. Amplitude and directional of arrival estimation: comparison between different techniques. Prog. Electromagn. Res. B, 39:319-335.

[26]Zaman, F., Qureshi, I.M., Naveed, A., et al., 2012b. Joint estimation of amplitude, direction of arrival and range of near field sources using memetic computing. Prog. Electromagn. Res. C, 31:199-213.

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