Dynamic Target Localization Method Based on Optical Quantum Transmission Distance Matrix Constructing

ZHOU Mu; WANG Min; CAO Jingyang; HE Wei

doi:10.11999/JEIT250020

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ZHOU Mu, WANG Min, CAO Jingyang, HE Wei. Dynamic Target Localization Method Based on Optical Quantum Transmission Distance Matrix Constructing[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT250020

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ZHOU Mu, WANG Min, CAO Jingyang, HE Wei. Dynamic Target Localization Method Based on Optical Quantum Transmission Distance Matrix Constructing[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT250020

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Dynamic Target Localization Method Based on Optical Quantum Transmission Distance Matrix Constructing

doi: 10.11999/JEIT250020 cstr: 32379.14.JEIT250020

ZHOU Mu^{1, 2
,
,},
WANG Min^{1, 2},
CAO Jingyang^{1, 2},
HE Wei^{1, 2}

1.
School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
School of Electronic Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China(62571074, 62501100), Natural Science Foundation of Chongqing, China (CSTB2025NSCQ-LZX0142), Special Project of Chongqing Technology Innovation and Application Development (Major Project)(Grant No. CSTB2024TIAD-STX0035)

Received Date: 2025-01-10
Accepted Date: 2025-11-03
Rev Recd Date: 2025-11-03

Available Online: 2025-11-09

Abstract

Abstract

Objective In recent years, the integration of quantum mechanics with information science and computer science has sparked a surge in quantum information research. Based on principles such as quantum superposition and quantum entanglement, quantum information technology holds the potential to overcome the limitations of traditional technologies and solve problems that classical information technologies and conventional computers cannot address. As a key technology, space-based quantum information technology has rapidly developed, opening new avenues to break through the performance bottlenecks of traditional positioning systems. However, existing quantum positioning methods primarily target stationary objects, struggling to address the challenges posed by dynamic changes in the transmission channels of entangled photon pairs due to particles, scatterers, and noise photons in the environment. This leads to difficulties in detecting moving targets and increased positioning errors caused by reduced data acquisition at fixed locations due to target movement. Traditional wireless signal-based target localization techniques also face numerous challenges in dynamic target localization, including signal attenuation, multipath effects, and noise interference in complex environments. To overcome these issues, this paper proposes a dynamic target localization method based on the construction of an optical quantum transmission distance matrix. The method aims to achieve high-precision and high-robustness dynamic target localization, particularly addressing the demands of moving target localization in practical application scenarios. This method not only provides centimeter-level positioning accuracy but also significantly enhances the adaptability and stability of the system for moving targets, offering strong support for the future practical application of quantum dynamic localization technology. Methods To improve the accuracy of the dynamic target localization system, this paper first proposes a dynamic threshold optical quantum detection model based on background noise estimation, utilizing the characteristics of optical quantum echo signals. A dynamic target localization optical path is established, where two entangled optical signals are generated through the SPDC process: one is retained as the reference signal in a local SPD, and the other is transmitted to the moving target position as the signal light. The optical quantum echo signals are then analyzed, and the background noise is estimated by combining the coincidence counting algorithm. The detection threshold is dynamically adjusted and compared with the signals from the detection unit, enabling rapid dynamic target detection. To better adapt to the variations in quantum echo signals caused by target movement, an adaptive optical quantum grouping method based on velocity measurement is introduced. The time pulse sequence is initially grouped coarsely, and the rough velocity of the target is calculated. The grouping size is then adjusted based on the target’s speed, updating the time grouping sequence and further optimizing the distance measurement accuracy, resulting in an updated velocity matrix. The photon transmission distance matrix is optimized using the relative velocity error matrix. By constructing a system of equations involving the light source position coordinates, the optical quantum transmission distance matrix, and the dynamic target coordinate sequence, the position of the dynamic target is estimated using the least squares method. This approach not only improves the localization accuracy but also effectively eliminates errors caused by target movement. Results and Discussions The effectiveness of the proposed method is validated through both simulations and the construction of a practical measurement platform. Experimental results show that the dynamic threshold detection method based on background noise estimation, as proposed in this paper, exhibits high-sensitivity detection performance (Fig. 7). When a moving target enters the detection range, rapid detection is achieved, enabling subsequent dynamic target localization. The adaptive grouping method based on velocity measurement significantly improves the performance of the quantum dynamic target localization system. By using grouped coincidence counting, the issue of blurred coincidence counting peaks due to target movement is addressed (Fig. 8), achieving high-precision velocity measurement (Table 1) and reducing localization errors caused by target movement. Centimeter-level positioning accuracy is achieved (Fig. 9). The study also constructs an entangled optical quantum experimental platform, emphasizing the measurement results at different velocities and positioning outcomes under various methods, further confirming the reliability and adaptability of the proposed method in enhancing distance measurement accuracy (Fig. 11). Conclusions This paper proposes a novel method for dynamic target localization in the field of entangled optical quantum dynamics, based on the construction of an optical quantum transmission distance matrix. The method enhances distance measurement accuracy and optimizes the overall positioning accuracy of the localization system through the use of a background noise estimation-based dynamic threshold detection method, a velocity measurement-based adaptive grouping method. By combining the optical quantum transmission distance matrix with the least squares optimization method, the approach provides a promising path for more precise quantum localization systems and demonstrates potential for real-time dynamic target tracking applications. This method not only improves the accuracy of dynamic target quantum localization systems but also expands the application potential of quantum localization technology in complex environments. In the future, it is expected to provide strong support for real-time applications of quantum dynamic target localization systems and have wide applications in areas such as intelligent health monitoring, the Internet of Things, and autonomous driving.
- Entangled optical quantum,
- quantum localization,
- dynamic target,
- coincidence counting,
- transmission distance matrix

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References(26)

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