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Performance Analysis for Joint Target Parameter Estimation in UMTS-Based Passive Multistatic Radar with Antenna
Chenguang Shi1, Fei Wang2, Sana Salous3
1Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China. scg_space@163.com.
Sensors (Basel, Switzerland)
|October 24, 2017
Summary
This study investigates modified Cramér-Rao lower bounds for passive multistatic radar using Universal Mobile Telecommunication System signals. Increasing receive antenna elements improves target position and velocity estimation accuracy.
Area of Science:
- Radar Systems Engineering
- Signal Processing
- Telecommunications
Background:
- Passive multistatic radar systems offer advantages in covert surveillance and target detection.
- Universal Mobile Telecommunication System (UMTS) signals present a viable option for passive radar applications.
- Accurate joint estimation of target position and velocity is crucial for tracking and engagement.
Purpose of the Study:
- To derive and analyze the modified Cramér-Rao lower bounds (MCRLBs) for joint target position and velocity estimation.
- To investigate the performance of a UMTS-based passive multistatic radar system with antenna arrays.
- To provide analytical expressions aiding in the optimal placement of receive stations.
Main Methods:
- Analysis of the log-likelihood function for a complex Gaussian extended target.
- Derivation of closed-form expressions for MCRLBs in Cartesian coordinates.
- Numerical simulations to validate analytical results and assess performance factors.
Main Results:
- MCRLBs are derived for a multistatic radar system with specified transmit and receive antenna configurations.
- Increasing the number of receiving antenna elements reduces estimation errors.
- MCRLB performance depends on SNR, antenna elements, UMTS signal properties, and geometric configuration.
Conclusions:
- The derived analytical expressions for MCRLBs enhance understanding of passive multistatic radar performance.
- Optimal placement of receive stations can be guided by MCRLB analysis to improve target parameter estimation.
- This research contributes to advancing passive radar capabilities using existing telecommunication infrastructure.
Keywords:
antenna arraysmaximum likelihood estimationmodified Cramér-Rao lower bound (MCRLB)modified fisher information matrix (MFIM)multistatic radaruniversal mobile telecommunications system (UMTS) signalsMore Related Videos
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