Performance Analysis for Joint Target Parameter Estimation in UMTS-Based Passive Multistatic Radar with Antenna Arrays Using Modified Cramér-Rao Lower Bounds

Shi, Chenguang; Wang, Fei; Salous, Sana; Zhou, Jianjiang

Abstract

In this study, the modified Cramér-Rao lower bounds (MCRLBs) on the joint estimation of target position and velocity is investigated for a universal mobile telecommunication system (UMTS)-based passive multistatic radar system with antenna arrays. First, we analyze the log-likelihood redfunction of the received signal for a complex Gaussian extended target. Then, due to the non-deterministic transmitted data symbols, the analytically closed-form expressions of the MCRLBs on the Cartesian coordinates of target position and velocity are derived for a multistatic radar system with Nt UMTS-based transmit station of Lt antenna elements and Nr receive stations of Lr antenna elements. With the aid of numerical simulations, it is shown that increasing the number of receiving elements in each receive station can reduce the estimation errors. In addition, it is demonstrated that the MCRLB is not only a function of signal-to-noise ratio (SNR), the number of receiving antenna elements and the properties of the transmitted UMTS signals, but also a function of the relative geometric configuration between the target and the multistatic radar system.The analytical expressions for MCRLB will open up a new dimension for passive multistatic radar system by aiding the optimal placement of receive stations to improve the target parameter estimation performance.

Citation

Shi, C., Wang, F., Salous, S., & Zhou, J. (2017). Performance Analysis for Joint Target Parameter Estimation in UMTS-Based Passive Multistatic Radar with Antenna Arrays Using Modified Cramér-Rao Lower Bounds. Sensors, 17(10), Article 2379. https://doi.org/10.3390/s17102379

• Journal Article Type: Article
• Acceptance Date: Oct 16, 2017
• Online Publication Date: Oct 18, 2017
• Publication Date: Oct 18, 2017
• Deposit Date: Oct 18, 2017
• Publicly Available Date: Oct 18, 2017
• Journal: Sensors
• Electronic ISSN: 1424-8220
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 17
• Issue: 10
• Article Number: 2379
• DOI: https://doi.org/10.3390/s17102379
• Public URL: https://durham-repository.worktribe.com/output/1342486
• Publisher URL: http://www.mdpi.com/1424-8220/17/10/2379