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February 22, 2026Measurement Sensors0 citationsOpen Access

Microwave Photonic Chaotic Radar with Frequency Up/Down Conversion Capability

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YZYu ZhangJZJie ZhaoYWYunxin WANG

Key Points

  • The aim is to develop a microwave photonic chaotic radar that achieves high-resolution ranging and frequency conversion.
  • Proposed a microwave photonic chaotic radar system.
  • Generated chaotic signals using a chaotic optoelectronic oscillator.
  • Integrated a dual-polarization quadrature phase shift keying modulator for radar signal generation.
  • Implemented a polarization division multiplexing scheme for signal transmission.
  • Demonstrated a radar bandwidth of 6 GHz.
  • Achieved a range resolution of 2.55 cm with less than 0.35 cm error.
  • Improved anti-jamming performance compared to traditional deterministic waveforms.

Abstract

A microwave photonic chaotic radar with frequency up/down conversion capability is proposed and demonstrated to implement high-resolution ranging. The system generates broadband chaotic signals via a chaotic optoelectronic oscillator (OEO), offering superior range resolution and anti-jamming performance compared to deterministic waveforms. By leveraging a dual-polarization quadrature phase shift keying modulator (DP-QPSKM), the system integrates radar signal generation with photonic-assisted frequency conversion. The radar operating frequency can be adjusted to the Ku-band without increasing the workload of digital correlation reception. The microwave photonic frequency converter avoids the bandwidth limitations and remote transmission flexibility issues associated with electric mixers. A polarization division multiplexing (PDM) scheme is introduced to co-transmit the reference and down-converted echo signals between the remote and central stations, which ensures system coherence and avoids strict clock synchronization. Experimental results demonstrate a radar bandwidth of 6 GHz, achieving a range resolution of 2.55 cm with an error of less than 0.35 cm. The proposed method offers a flexible and robust solution for distributed sensing in autonomous driving and smart city applications.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/699a9ceb482488d673cd2993https://doi.org/10.1016/j.measen.2026.101996
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