Estimation of Breast Tumor Location using Phase Information and Received Signal Delay

Majlesi Journal of Telecommunication Devices

مقاله 1، دوره 11، شماره 2، شهریور 2022، صفحه 61-66   

نوع مقاله: Original Article

شناسه دیجیتال (DOI): 10.30486/mjtd.2022.695916

نویسندگان

Mohammad Ali Pourmina؛ javad Nouri pour؛ Mohamad Naser Moghaddasi؛ behbod Ghalamkari

Faculty of Mechanical, Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

چکیده

In this article, a new method is proposed to find tumor's location. This process is based on the arrangement of sensors; the phase and distance to the cancer are given as well. Extraction of tumor distance and phase by Snell's law is the number of received pulses and the delay of receiving Signal. The transmitter antenna is in a fixed position, and the receiver rotates at a certain angular velocity around the tissue. Considering this information, a package solution in polar coordinates is presented. Meanwhile, angle and range information are extracted. Then the maximum probability estimate of the target location is given. This paper applies experimentally to simulated random data.

کلیدواژه‌ها

Tumor؛ interferometry؛ maximal probability؛ time difference of reception؛ breast tissue

مراجع

[1] D. J. Kurrant, E. C. Fear and D. T. Westwick, "Tumor Estimation In Tissue Sensing Adaptive Radar (TSAR) Signals," in 2007 Canadian Conference on Electrical and Computer Engineering, Vancouver, BC, Canada, 22-26 April 2007.

[2] F. M. a. D. T. W. Douglas J. Kurrant, "Tumor Response Estimation in Radar-Based Microwave Breast Cancer Detection," IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, vol. 55, p. 12, DECEMBER 2008.

[3] K. Kanazawa, K. Noritake, Y. Takaishi, and S. Kidera, "Microwave Imaging Algorithm Based on Waveform Reconstruction for Microwave Ablation Treatment," IEEE Transactions on Antennas and Propagation, pp. Volume: 68, Issue: 7, July 2020.

[4] B. S. Javad. Nooripor, "Disorder system signal spectrum to steal Velocity Range Gate," Majlesi Journal of Telecommunication Devices, vol. 2, no. 2322-1550, p. 2, June 2012.

[5] G. W. STIMSON, Introduction AIRBORNE Radar, MENDHAM, NEW JERSEY: SciTech Publishing, 1983.

[6] S. V. Doan, J. Vesely, P. Janu, P. Hubacek, and X. L. Tran, "Optimized algorithm for solving phase interferometer ambiguity," in 2016 17th International Radar Symposium (IRS), Krakow, Poland, 10-12 May 2016.

[7] K. Kanazawa, K. Noritake, and Y. T. a. S. Kidera, "Microwave Imaging Algorithm Based on Waveform Reconstruction for Microwave Ablation Treatment," IEEE Transactions on Antennas and Propagation, vol. 68, no. 7, pp. 5613 - 5625, 2020.