Evaluating the detection range of microwave quantum illumination radar

Abstract

Based on quantum illumination (QI) protocol, microwave quantum radar has been developed, which has attracted great interest from radar researchers. While, according to the QI protocol, the quantum advantage of QI radar is related to the power of generated signal, which may lead to a trade‐off between its quantum advantage and the maximum detection range. However, the maximum detection range is an important indicator to measure the performance of the radar. Therefore, it is necessary to quantitatively analyse the maximum detection range and quantum advantages of microwave QI radar, which will help us understand its performance from the perspective of radar applications and further evaluate the potential application scenarios and future research directions of it. The microwave quantum radar equation is developed, by the authors, based on the classical radar equation with the consideration of the quantum properties of extremely weak signals. Then, the maximum detection range of QI radar and classical two mode noise radar in different microwave bands is comprehensively compared and analysed. The possible applications of microwave QI radars in different bands are also discussed. In addition, the authors demonstrate that the symmetrical quantum limited amplification actually has no contribution to improving the detection range of a QI radar.

Long-Range Entangled Quantum Noise Radar Over Order of Kilometer

“…In recent years, many theoretical and experimental papers have been published on the optical QI [18]- [26] and also on the microwave QTMS radars [27]- [32] to illustrate the advantages of them with respect to the classical analogous with the same features. The majority of the works on microwave QI are focused on the effect of entanglement on signal-idler correlation enhancement, and the effect of this enhancement on performance of the system in terms of the receiver operation characteristic (ROC) curve and the detection signalto-noise-ratio (SNR) which are not sufficient for analyzing the performance of these systems in long-range applications in reality.…”