Multi-Target Localization of MIMO Radar with Widely Separated Antennas on Moving Platforms Based on Expectation Maximization Algorithm
Abstract
:1. Introduction
2. Materials and Methods
2.1. Signal Model
2.2. Stage 1: Delay-Doppler-SNR Estimation
2.2.1. Q function and Derivation of Complete Data
2.2.2. Estimation of Parameters in SNR
2.2.3. Echo Delay and Doppler Shift Estimation
Algorithm 1 GAEM algorithm |
Input:
Output:
|
Algorithm 2 GAEM+SQUAREM algorithm |
Input:
Output:
|
2.3. Stage 2: Target Parameters and System Deviations Estimation
2.4. Cramér-Rao Bound in the Non-Ideal Environment
3. Results
3.1. Estimation of Time Delay and Doppler
3.2. Target Parameters and System Deviations Estimation
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A. Derivation of the Fisher Information Matrix
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Lu, J.; Liu, F.; Sun, J.; Miao, Y.; Liu, Q. Multi-Target Localization of MIMO Radar with Widely Separated Antennas on Moving Platforms Based on Expectation Maximization Algorithm. Remote Sens. 2022, 14, 1670. https://doi.org/10.3390/rs14071670
Lu J, Liu F, Sun J, Miao Y, Liu Q. Multi-Target Localization of MIMO Radar with Widely Separated Antennas on Moving Platforms Based on Expectation Maximization Algorithm. Remote Sensing. 2022; 14(7):1670. https://doi.org/10.3390/rs14071670
Chicago/Turabian StyleLu, Jiaxin, Feifeng Liu, Jingyi Sun, Yingjie Miao, and Quanhua Liu. 2022. "Multi-Target Localization of MIMO Radar with Widely Separated Antennas on Moving Platforms Based on Expectation Maximization Algorithm" Remote Sensing 14, no. 7: 1670. https://doi.org/10.3390/rs14071670