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Design Example: Capacitance Multiplier Circuit01:20

Design Example: Capacitance Multiplier Circuit

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Updated: Jun 11, 2025

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
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Unimodular Multi-Input Multi-Output Waveform and Mismatch Filter Design for Saturated Forward Jamming Suppression.

Xuan Fang1, Dehua Zhao1, Liang Zhang2

  • 1National Key Laboratory of Radar Detection and Sensing, Nanjing Research Institute of Electronics Technology, Nanjing 210039, China.

Sensors (Basel, Switzerland)
|September 28, 2024
PubMed
Summary

Amplitude modulation of multiple-input multiple-output (MIMO) radar angular waveforms combats forward jamming. This study designs unimodular MIMO waveforms and mismatch filters, reducing jamming correlation by -6.8 dB and suppressing jamming peaks by 19 dB.

Keywords:
MIMO radarelectronic countermeasureinterference suppressionpulse compressionradar signal processingwaveform diversity

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Area of Science:

  • Electronic Warfare
  • Radar Signal Processing
  • Array Signal Processing

Background:

  • Forward jammers pose a significant threat in electronic warfare by retransmitting radar signals to create false targets.
  • Jamming transmitters saturate to maximize power, retaining only phase information of the angular waveform at the direction of arrival (DOA).
  • Amplitude modulation of multiple-input multiple-output (MIMO) radar angular waveforms presents a viable strategy against forward jamming.

Purpose of the Study:

  • To design unimodular MIMO waveforms that maximize the discrepancy between retransmitted jamming signals and the synthesized radar signal.
  • To develop associated mismatch filters for enhanced jamming suppression.
  • To address the challenge of mainlobe jamming in MIMO radar systems.

Main Methods:

  • Formulation of waveform design as an unconstrained non-linear optimization problem, solved using the conjugate gradient method.
  • Utilization of the Fast Fourier Transform (FFT) to accelerate the computation of the objective function and its gradient.
  • Design of a mismatch filter using convex optimization for jamming suppression.

Main Results:

  • Achieved a reduction in correlation between the angular waveform and saturated forward jamming to -6.8 dB for an eight-element MIMO radar.
  • The designed mismatch filter successfully suppressed the jamming peak by 19 dB.
  • The proposed method incurred an acceptable signal-to-noise ratio (SNR) loss of less than 2 dB.

Conclusions:

  • The proposed amplitude modulation technique for MIMO radar waveforms effectively maximizes the difference from jamming signals.
  • The combination of optimized unimodular waveforms and mismatch filters provides a robust anti-jamming solution.
  • This approach offers significant jamming suppression capabilities with minimal impact on radar performance.