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Distributed Two-Dimensional MUSIC for Joint Range and Angle Estimation with Distributed FMCW MIMO Radars.

Jiho Seo1, Jonghyeok Lee1, Jaehyun Park1

  • 1Division of Smart Robot Convergence and Application Engineering, Department of Electronic Engineering, Pukyong National University, Busan 48513, Korea.

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Summary

This study introduces a distributed 2D MUSIC algorithm for Frequency Modulated Continuous Wave (FMCW) Multiple-Input Multiple-Output (MIMO) radars. The new method reduces data communication and complexity by processing signals at each radar, improving target estimation.

Keywords:
2D MUSIC algorithmFMCW MIMO radarcoordinate transformationdistributed radarsjoint range and angle estimation

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Radar Systems

Background:

  • Frequency Modulated Continuous Wave (FMCW) Multiple-Input Multiple-Output (MIMO) radars are crucial for estimating target range and angle using 2D MUSIC algorithms.
  • Coherent processing of received signals at a central data fusion center improves accuracy but increases communication overhead and system complexity.

Purpose of the Study:

  • To propose a novel distributed 2D MUSIC algorithm that mitigates the communication and complexity issues associated with centralized processing in FMCW MIMO radar systems.
  • To enable accurate joint estimation of range and angle information for multiple targets in a distributed radar network.

Main Methods:

  • A distributed 2D MUSIC algorithm is developed, incorporating coordinate transformation to enable localized processing at each radar.
  • Each radar independently performs 2D MUSIC in transformed coordinates, processing its own received signals.
  • Instead of raw data, radars forward local cost function values to a central data fusion center.

Main Results:

  • The proposed distributed approach significantly reduces data communication requirements compared to traditional centralized methods.
  • Joint estimation of range and angle information is achieved at the data fusion center by aggregating local cost functions.
  • Experimental validation confirms the effectiveness and performance of the distributed 2D MUSIC algorithm in real-world environments.

Conclusions:

  • The distributed 2D MUSIC algorithm with coordinate transformation offers an efficient and effective solution for multi-target estimation in FMCW MIMO radar systems.
  • This method successfully addresses the challenges of high data communication overhead and implementation complexity in distributed radar networks.
  • The findings demonstrate the practical viability of the proposed distributed processing scheme for enhanced radar performance.