Browse > Article
http://dx.doi.org/10.7236/IJIBC.2020.12.3.1

Target Velocity Estimation using FFT Method  

Lee, Kwan Hyeong (Division of Human IT Convergence, Daejin University)
Publication Information
International Journal of Internet, Broadcasting and Communication / v.12, no.3, 2020 , pp. 1-8 More about this Journal
Abstract
This paper studied a method of estimating target information using a radar in wireless communication. Position information on the target can be estimated angle, distance and velocity. The velocity information can be estimated since the Doppler frequency is changed in the moving target. The signal incident on the receiving array antenna is multiplied by the delay time and the reference signal to represent the output signal. This output signal is estimated by applying FFT (Fast Fourier Transform) after calculating signal correlation through correlation integrator. Since the output signal must be calculated within the correlator, it should be processed with the Dwell time. The correlation signal of the correlation integrator outside this Dwell time is indicated by the velocity measurement error. The FFT is applied to the signal that has passed through the correlated integrator in order to estimate the distance of the signal. The Doppler resolution must be improved because the FFT estimates target information using the Doppler information. The Doppler resolution decreases with increasing the integration time. The velocity information estimation should have no spread of the velocity. As a result of the simulation, there was no spread of the target velocity in this study.
Keywords
FFT; Correlation Integrator; Delay time; Doppler frequency; Target velocity;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Xiaofei, Zhaing, Weiyang. Chan, Wang. Zheng, Zhongxi. Xia, and Yungei. Wang, "A Redeced-dimension MUSIC Algorithm", IEEE Transactions on Signal Processing, Vol. 22, No. 7, pp. 1422-1425, May 2018. DOI: 10.1109/LCOMM.2018.2837049.
2 Zhiguo. Shi, Qianwen. He, and Ying, Liu, "Accelerating Parallel Jacobi Method for Matrix Eigenvalue Computation in DOA Estimation Algorithm," IEEE Transactions on Vehicular Technology, Vol. 69, No. 6, pp. 6275-6285, April 2020. DOI: 10.1109/TVT.2020.2984705.   DOI
3 Jingjing. Pan, Meng. Sum, Yide. Wang, and Xiaofei. Zhang, "An Enhanced Spatial Smoothing Technique with ESPRIT Algorithm for Direction of Arrival Estimation in Coherent Scenarios," IEEE Transactions on Signal Processing Vo. 68, pp. 3635-3643, May 2020. DOI:: 10.1109/TSP.2020.2994514   DOI
4 Peebles Jr., P.Z., Radar Principles, John Wiley & Sons, pp. 20-150, 1998.
5 Merrill. Skolnik, Radar Handbook, Mcgraw-Hill, pp. 11-57, 1997.
6 Merrill. Skolnik, Introduction to Radar Systems, Mcgraw-Hill, pp. 13-89, 2000.
7 Kai-Bor Yu and David J. Murrow, "Adaptive Digital Beamforming for Preserving Monopulse Target Angle Estimation Accuracy in Jamming," in proc. IEEE Sensor Array and Multichannel Signal Processing Workshop, pp.454-458, Mar.17, 2000. DOI: 10.1109/SAM.2000.878050.
8 Cantrell. B, De. Graaf, L. Leibowitz, F. Willwerth, G. Meurer, C. Parris, and R. stapleton, "Development of Digital Array Radar." in Proc. IEEE Radar conference, May 3, 2001. DOI: 10.1109/NRC.2001.922970.
9 John D.Kraus, Antennas, Mcgraw-Hill, pp. 5-70, 1998.
10 David K. Barton, Modern Radar System Analysis, Artech House, pp.57-167, 2000.
11 Marcum, J.I., "A Statistical Theory of Target Detection by Pulsed Radar", IRE Transactions on Information Theory. Vo. 6, No. 2, pp 59-267. April 1960. DOI: 10.1109/TIT.1960.1057560   DOI