Passive Target Positioning on Uncertain Detection Path Based on Entangled Light Quantum

As one of the state-of-the-art technologies currently being studied in the field of target positioning, the entangled light quantum-based passive target positioning method uses quantum entangled states to detect and localize the target, thus providing highly accurate and anti-interference positioning services. The conventional methods seldom consider the problem that maybe a pseudo-target is detected when there is actually no target due to the interference of particles, scatterers, and noise photons during light quantum transmission. To address this problem, this article proposes a new passive target positioning method on uncertain detection path based on entangled light quantum. Specifically, first of all, by converting the continuous light energy into the discrete photon number, the photon return rate is used to calculate the number of arrival photons based on the counting characteristics of the single photon detector. Second, the detection probabilities of signal, idler, and noise photons are calculated to obtain the coincidence probability at the receiver. Third, according to the coincidence count value of the entangled light time pulse sequence, the constant false alarm rate (CFAR) detection model is established, and the corresponding detection threshold is adaptively adjusted with the change of the background noise to achieve highly sensitive target detection. Finally, the relative error for each light source is considered to select the optimal light sources with the smallest relative distance errors for target positioning. In addition, the results show that the detection probability of the proposed method is over 95% with the false alarm probability 0.05, the positioning error is centimeter level, and the confidence probability within 2.60 cm can reach 92%.

Automated summary

This study proposes a passive target positioning method based on entangled light quantum, which utilizes quantum entangled states to detect and localize targets, providing high accuracy and anti-interference positioning services. By converting the continuous light energy into the discrete photon number, calculating detection probabilities, and establishing a CFAR detection model, the proposed method achieves highly sensitive target detection and accurate positioning. This method demonstrates high detection probability and low positioning error.