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Nonlinear Blind Compensation for Array Signal Processing Application.

Jialu Huang1, Hong Ma2, Jiang Jin3

  • 1School of Electronic Information and Communications, Huazhong University of Science & Technology, 1037 Luoyu Road, Wuhan 430074, China. huangjialu1987@126.com.

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Summary
This summary is machine-generated.

This study introduces a new nonlinear blind compensation algorithm to improve the accuracy of parameter estimation in array signal processing. The method enhances spurious-free dynamic range (SFDR) for precise 2-D directions of arrival (DOA) estimation, even with strong interference.

Keywords:
array receiverarray signal processingnonlinear blind compensation algorithmspurious-free dynamic rangetwo-dimensional direction-of-arrival

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Area of Science:

  • Array Signal Processing
  • Nonlinear Systems
  • Radio Frequency (RF) Engineering

Background:

  • Nonlinear distortion in multi-channel RF front-ends complicates accurate array signal parameter estimation.
  • Existing methods struggle with precise parameter estimation due to receiver nonlinearity.

Purpose of the Study:

  • To develop a novel nonlinear blind compensation algorithm for array receivers.
  • To mitigate nonlinear distortion and improve spurious-free dynamic range (SFDR).
  • To enhance the accuracy of two-dimensional directions of arrival (2-D DOAs) estimation.

Main Methods:

  • Extracting nonlinear model parameters from individual RF front-end channels.
  • Synchronously compensating nonlinear distortion across the entire array receiver.
  • Verifying the approach using experimental data from a uniform circular array (UCA).

Main Results:

  • The proposed algorithm effectively enhances the receiver's SFDR.
  • Significant improvement in 2-D DOAs estimation performance for weak target signals was observed.
  • Experimental results confirm enhanced performance in the presence of strong jammers.

Conclusions:

  • The developed nonlinear blind compensation algorithm is effective for parameter estimation of weak array signals.
  • The method successfully mitigates nonlinear distortion and improves SFDR in array receivers.
  • This technique offers enhanced 2-D DOAs estimation accuracy, particularly in challenging signal environments.