Development of Intelligent Time/Frequency Based Signal Detection Algorithm for Intrusion Detection System

For the past couple of decades Weak signal detection is of crucial importance in various engineering and scientific applications. It finds its application in areas like Wireless communication, Radars, Aerospace engineering, Control systems and many of those. Usually weak signal detection requires phase sensitive detector and demodulation module to detect and analyze the signal. This article gives you a preamble to intrusion detection system which can effectively detect a weak signal from a multiplexed signal. By carefully inspecting and analyzing the respective signal, this system can successfully indicate any peripheral intrusion. Intrusion detection system (IDS) is a comprehensive and easy approach towards detecting and analyzing any signal that is weakened and garbled due to low signal to noise ratio (SNR). This approach finds significant importance in applications like peripheral security systems.

Authors:

• Waqas Ahmed
• S Sajjad Haider Zaidi

Keywords:

• Data Acquisition
• fast frequency transforms
• Lab VIEW software
• weak signal detection.

References:

[1] M. Zhang and W. Huang, "Design and implementation of a weak
signal detecting system based on LabWindows," in Wireless and Mobile
Communications, 2009. ICWMC -09. Fifth International Conference on,
Aug. 2009, pp. 245 -250.
[2] X. Liu and X. Feng, "Research on weak signal detection for downhole
acoustic telemetry system," in Image and Signal Processing (CISP),
2010 3rd International Congress on, vol. 9, Oct. 2010, pp. 4432 -4435.
[3] E. Causevic, R. Morley, M. Wickerhauser, and A. Jacquin, "Fast
wavelet estimation of weak biosignals," Biomedical Engineering, IEEE
Transactions on, vol. 52, no. 6, pp. 1021 -1032, Jun. 2005.
[4] Z. Qin, L. Chen, and X. Bao, "Wavelet denoising method for improving
detection performance of distributed vibration sensor," Photonics Technology
Letters, IEEE, vol. 24, no. 7, pp. 542 -544, Apr. 2012.
[5] L. Gao, S. Liu, Z. Yin, L. Zhang, L. Chen, and X. Chen, "Fiber-Optic
vibration sensor based on beat frequency and Frequency-Modulation
demodulation techniques," Photonics Technology Letters, IEEE, vol. 23,
no. 1, pp. 18 -20, Jan. 2011.
[6] H. Hoidalen and M. Runde, "Continuous monitoring of circuit
breakersusing vibration analysis," Power Delivery, IEEE Transactions
on, vol. 20, no. 4, pp. 2458 - 2465, Oct. 2005.
[7] P. Zhou, M. Lowery, R. Weir, and T. Kuiken, "Elimination of ECG artifacts
from myoelectric prosthesis control signals developed by targeted
muscle reinnervation," in Engineering in Medicine and Biology
Society,2005. IEEE-EMBS 2005. 27th Annual International Conference
of the,Jan. 2005, pp. 5276 -5279.
[8] Y. Cao, C. Chen, and Y. Hu, "Application of independent component
analysis to ECG cancellation in surface electromyography measurement,"
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical
engineering = Shengwu yixue gongchengxue zazhi, vol. 22, no. 4,
pp.686-689, Aug 2005, PMID: 16156250.
[9] J. Allen, "Applications of the short time fourier transform to speech
processing and spectral analysis," in Acoustics, Speech, and Signal
Processing, IEEE International Conference on ICASSP -82., vol. 7,
May1982, pp. 1012 - 1015.
[10] V. Chen and S. Qian, "Joint time-frequency transform for radar rangedoppler
imaging," IEEE Transactions on Aerospace and Electronic
Systems, vol. 34, no. 2, pp. 486 -499, Apr. 1998.
[11] C. Yan and Z. Rubo, "The application of short time fractional fourier
transform in processing underwater multi-frequency LFM signal," in
Cross Strait Quad-Regional Radio Science and Wireless Technology
Conference (CSQRWC), 2011, vol. 2, Jul. 2011, pp. 1472 -1475.
[12] H. Kwok and D. Jones, "Improved instantaneous frequency estimation
using an adaptive short-time fourier transform," IEEE Transactions on
Signal Processing, vol. 48, no. 10, pp. 2964 -2972, Oct. 2000.