**5. Conclusions**

An LPI-based joint dwell time and bandwidth allocation strategy is proposed in this paper. The basis of this strategy is to use the optimization technique to control the radars' illumination in the radar network for the purpose of improving the LPI performance. Meanwhile, the tracking accuracy of each target must be guaranteed, which means that the BCRLB meets a predefined threshold. The physical explanation of this strategy can be described as: (1) For each target, select a suitable radar group to complete tracking tasks; (2) Under the premise of tracking tasks requirements, minimize the total dwell time of radar network. The resulting optimization problem contains two adaptable vectors, one for dwell time and the other for bandwidth allocation, which is solved by NPGA, and then a proposed algorithm. Simulation results demonstrate that the proposed strategy can achieve a better LPI performance compared with the benchmark.

In future work, more illumination resources, such as the transmitted power of each radar, will be taken into consideration. Furthermore, the cases of detection probability less than 1 and false alarm probability greater than 0 are of practical importance, which should be taken into account [27,28].

**Author Contributions:** L.D., C.S. and W.Q. conceived and designed the experiments; L.D., C.S. and W.Q. performed the experiments; L.D. and J.Z. analyzed the data; L.D. wrote the paper; C.S. and J.Z. contributed to data analysis revision; C.S. and J.Z. contributed to English language correction. All authors of article provided substantive comments. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research has received no external funding.

**Acknowledgments:** This work is supported in part by the National Natural Science Foundation of China (Grant No. 61801212), in part by the Natural Science Foundation of Jiangsu Province (Grant No. BK20180423), in part by the Fundamental Research Funds for the Central Universities (Grant No. NT2019010), in part by the China Postdoctoral Science Foundation (Grant No. 2019M650113) and in part by Key Laboratory of Radar Imaging and Microwave Photonics (Nanjing Univ. Aeronaut. Astronaut.), Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

**Conflicts of Interest:** The authors declare no conflict of interest.
