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https://dspace.iiti.ac.in/handle/123456789/5707
| Title: | Kernel LMS-Based Estimation Techniques for Radar Systems |
| Authors: | Bhatia, Vimal |
| Keywords: | Chirp modulation;Cramer-Rao bounds;Doppler effect;Doppler radar;Estimation;Frequency estimation;Orthogonal frequency division multiplexing;Delay;Delays;Kernel;KLMS;Ofdm radars;RKHS;Radar cross section |
| Issue Date: | 2019 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Singh, U. K., Mitra, R., Bhatia, V., & Mishra, A. K. (2019). Kernel LMS-based estimation techniques for radar systems. IEEE Transactions on Aerospace and Electronic Systems, 55(5), 2501-2515. doi:10.1109/TAES.2019.2891148 |
| Abstract: | Relationship between the delay and Doppler shift with the radar return is nonlinear in nature. Therefore, a nonlinear estimator based on sparse kernel least mean square algorithm is proposed. Further, an adaptive kernel width optimization technique is proposed to lower the computational complexity and for simple implementation. An expression for the Cramer-Rao lower bound is derived and validated for the proposed estimator over linear frequency modulated, and orthogonal frequency division multiplexed radar systems. © 1965-2011 IEEE. |
| URI: | https://doi.org/10.1109/TAES.2019.2891148 https://dspace.iiti.ac.in/handle/123456789/5707 |
| ISSN: | 0018-9251 |
| Type of Material: | Journal Article |
| Appears in Collections: | Department of Electrical Engineering |
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