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Multiple-Parameter Estimation Method Based on Spatio-Temporal 2-D Processing for Bistatic MIMO Radar.

Shouguo Yang1, Yong Li2, Kunhui Zhang3

  • 1School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China. ysg_910@163.com.

Sensors (Basel, Switzerland)
|December 24, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new 2-D processing method for bistatic multiple-input multiple-output (MIMO) radar to estimate azimuth and Doppler frequency. It effectively handles spatial colored noise and an unknown number of targets with reduced computational complexity.

Keywords:
Doppler frequencybistatic MIMO radarspatio-temporal 2-D processingtransmitting-receiving azimuth

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Area of Science:

  • Radar Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Bistatic multiple-input multiple-output (MIMO) radar systems face challenges in accurately estimating target parameters due to spatial colored noise and an unknown number of targets.
  • Existing methods often struggle with computational complexity and adaptability to arbitrary geometrical configurations.

Purpose of the Study:

  • To propose a novel spatio-temporal 2-dimensional (2-D) processing method for bistatic MIMO radar.
  • To jointly estimate transmitting-receiving azimuth and Doppler frequency.
  • To address challenges posed by spatial colored noise and an unknown number of targets.

Main Methods:

  • Utilizes temporal domain cross-correlation of matched filter outputs to eliminate spatial colored noise.
  • Employs spatial domain diagonal loading and subspace theory for direction of departure (DOD) and direction of arrival (DOA) estimation.
  • Estimates Doppler frequency based on derived DOD and DOA.

Main Results:

  • Achieves accurate joint estimation of azimuth and Doppler frequency.
  • Successfully eliminates spatial colored noise and handles an unknown number of targets.
  • Demonstrates low computational complexity by avoiding target number estimation and eigenvalue decomposition (EVD).

Conclusions:

  • The proposed method is efficient and accurate for bistatic MIMO radar.
  • It is suitable for arbitrary transmitted and received geometrical configurations.
  • Computer simulations validate the method's correction and efficiency.