CrossRef Open Access 2020 1 sitasi

LPI performance optimisation strategy for a JRCS

Chenguang Shi Yijie Wang Fei Wang Sana Salous Jianjiang Zhou

Abstrak

In this study, the problem of the low probability of intercept (LPI) performance optimisation for a joint radar‐communications system (JRCS) is investigated, which can simultaneously estimate surveillance channel parameters from the target returns and decode the received communications signals. The primary purpose of the proposed LPI performance optimisation strategy is to improve the LPI performance of a JRCS by optimising the energy spectral density of radar waveform design and the communications power allocation while maintaining a predetermined mutual information threshold for parameter estimation and a certain communications data rate for information delivery. The traditional isolated sub‐band (TISB) situation, radar isolated sub‐band (RISB) situation, and communications isolated sub‐band (CISB) situation are analysed. Subsequently, the technique of Lagrange multipliers and the Karush–Kuhn–Tuckers optimality conditions are employed to solve the resulting optimisation problems. Moreover, the successive interference cancellation method is adopted to process the received radar‐communications compound signal. Finally, several numerical simulations are conducted to demonstrate the theoretical calculations and to validate the effectiveness of the proposed LPI performance optimisation strategy. It is also shown that the achievable LPI performance in RISB and CISB situations is much better than that in TISB situation.

Penulis (5)

C

Chenguang Shi

Y

Yijie Wang

F

Fei Wang

S

Sana Salous

J

Jianjiang Zhou

Format Sitasi

Shi, C., Wang, Y., Wang, F., Salous, S., Zhou, J. (2020). LPI performance optimisation strategy for a JRCS. https://doi.org/10.1049/iet-rsn.2019.0540

Akses Cepat

Lihat di Sumber doi.org/10.1049/iet-rsn.2019.0540
Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Total Sitasi
Sumber Database
CrossRef
DOI
10.1049/iet-rsn.2019.0540
Akses
Open Access ✓