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Performance Analysis for Joint Target Parameter Estimation in UMTS-Based Passive Multistatic Radar with Antenna

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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.

Keywords:
antenna arraysmaximum likelihood estimationmodified Cramér-Rao lower bound (MCRLB)modified fisher information matrix (MFIM)multistatic radaruniversal mobile telecommunications system (UMTS) signals

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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.