Abstract

In this study, we propose and evaluate a 3D multi-input multi-output (MIMO) pulsed chaos lidar based on time-division multiplexing. By time-gating a chaos waveform sequentially at different times, chaos-modulated pulses for different channels that are uncorrelated with each other can be generated. To quantitatively evaluate the anti-interference/jamming capability, we investigated the detection performance of the MIMO chaos lidar under different jamming strengths and overlapped ratios between the jamming and the signal pulses. The overall detection probabilities of the chaos lidar and a conventional time-digital-converter-based pulsed lidar under the influence of interference/jamming were compared and we found that the chaos lidar exhibits strong resistance to the interference/jamming. Employing the 3D MIMO chaos lidar developed, we demonstrate 3D imaging under the influence of interference/jamming. By simultaneously scanning 2 different channels with overlapped field-of-views (FOVs), 3D images with large-FOV/low-resolution and small-FOV/high-resolution were obtained at the same time.

Highlights

  • L IDAR has the unique advantage of providing highaccuracy depth information up to a very long detection range

  • We developed a multiinput multi-output (MIMO) 3D pulsed chaos lidar based on time-division multiplexing

  • We evaluated the peak to standard deviation of sidelobe level (P SLstd), precision, and detection probability of the lidar under different relative jamming strengths and overlapped ratios to quantify its anti-interference/jamming capability

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Summary

INTRODUCTION

L IDAR has the unique advantage of providing highaccuracy depth information up to a very long detection range. The concept is simple, using pulses without any specific patterns makes these lidars vulnerable to interference and malicious jamming [7] To mitigate these issues, correlation-based lidars such as randommodulation continuous-wave (RM-CW) lidars [8]–[10] and chaos lidars [11]–[14] that utilize modulated light with specific patterns have been proposed. They have no range ambiguity and are intrinsically resistant to interference and jamming because of their noise-like waveforms Despite these unique features, the correlation-based lidars with modulated CW waveforms typically have relatively low signal-to-noise ratios (SNRs) especially when the output power is limited by eye-safe regulations (average power less than 10 mW at 1550 nm) [20]–[23]. We present 3D imaging under malicious jamming and demonstrate multi-channel 3D imaging with simultaneous large-FOV/lowresolution and small-FOV/high-resolution scanning

EXPERIMENTAL SETUP
CHARACTERISTICS OF MULTI-CHANNEL CHAOS
DETECTION PERFORMANCE UNDER INTERFERENCE
OVERALL DETECTION PROBABILITY
20 Time window: 5 s
DEMONSTRATION OF 3D IMAGING UNDER THE
DEMONSTRATION OF MULTI-CHANNEL IMAGING WITH FOV OVERLAPPED SCENES
Findings
VIII. CONCLUSION
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