Results 31 to 40 of about 2,448 (172)

LPI Optimization Framework for Radar Network Based on Minimum Mean-Square Error Estimation

Entropy, 2017
This paper presents a novel low probability of intercept (LPI) optimization framework in radar network by minimizing the Schleher intercept factor based on minimum mean-square error (MMSE) estimation.
Ji She, Jianjiang Zhou, Fei Wang, Hailin Li   +3 more
doaj   +1 more source

LPI Radar Waveform Recognition Based on Multi-Resolution Deep Feature Fusion

IEEE Access, 2021
Deep neural networks are used as effective methods for the Low Probability of Intercept (LPI) radar waveform recognition. However, existing models' performance degrades seriously at low Signal-to-Noise Ratios (SNRs) because the effective features ...
Xue Ni, Huali Wang, Fan Meng, Jing Hu, Changkai Tong   +4 more
doaj   +1 more source

Joint transmitter selection and resource management strategy based on low probability of intercept optimization for distributed radar networks [PDF]

, 2018
In this paper, a joint transmitter selection and resource management (JTSRM) strategy based on low probability of intercept (LPI) is proposed for target tracking in distributed radar network system.
Blair, Boers, Boyd, C. G. Shi, Chen, F. Wang, Fisher, Haimovich, J. J. Zhou, Kalandros, Kelly, Kershaw, Keuk, Kirubarajan, Li, Liu, Lynch, Mahafza, Naghsh, Nguyen, Niu, Pace, S. Salous, Schleher, Schopf, Self, She, She, Shi, Shi, Shi, Shi, Sira, Teng, Wiley, Xie, Yan, Zhang, Zhang, Zhang   +39 more
core   +2 more sources

Joint Route Optimization and Multidimensional Resource Management Scheme for Airborne Radar Network in Target Tracking Application [PDF]

, 2022
In this article, we investigate the problem of joint route optimization and multidimensional resource management (JRO-MDRM) for an airborne radar network in target tracking application.
Dai, Xiangrong, Salous, Sana, Shi, Chenguang, Wang, Yijie, Zhou, Jianjiang   +4 more
core   +2 more sources

Radar signal recognition based on triplet convolutional neural network

EURASIP Journal on Advances in Signal Processing, 2021
Recently, due to the wide application of low probability of intercept (LPI) radar, lots of recognition approaches about LPI radar signal modulations have been proposed.
Lutao Liu, Xinyu Li
doaj   +1 more source

Information-Theoretic Optimal Radar Waveform Selection With Multi-Sensor Cooperation for LPI Purpose

IEEE Access, 2022
For the complex battlefield electromagnetic environment, low probability of interception (LPI) performance has become an indispensable ability for modern radars.
Jun Chen, Fei Wang, Jianjiang Zhou
doaj   +1 more source

LPI Optimization Framework for Target Tracking in Radar Network Architectures Using Information-Theoretic Criteria

International Journal of Antennas and Propagation, 2014
Widely distributed radar network architectures can provide significant performance improvement for target detection and localization. For a fixed radar network, the achievable target detection performance may go beyond a predetermined threshold with full
Chenguang Shi, Fei Wang, Mathini Sellathurai, Jianjiang Zhou   +3 more
doaj   +1 more source

LPI Radar Signals Modulation Recognition Based on ACDCA-ResNeXt

IEEE Access, 2023
For low probability of intercept (LPI) radar waveform identification accuracy (ACC) problem at low Signal-to-Noise Ratios (SNRs), an approach based on time-frequency analysis (TFA) and Asymmetric Dilated Convolution Coordinate Attention Residual networks
Xudong Wang, Guiguang Xu, He Yan, Daiyin Zhu, Ying Wen, Zehu Luo   +5 more
doaj   +1 more source

Information divergence-based low probability of intercept waveform detection for multi-antenna intercept receivers

The Journal of Engineering, 2019
Based on the asymptotic spectral distribution of sample covariance matrix, a new low probability of interception (LPI) signal detection method for multi-antenna intercept receiver is proposed via reforming the noise sequence into a Wishart matrix.
Jun Chen, Fei Wang, Jianjiang Zhou, Chenguang Shi   +3 more
doaj   +1 more source

Efficient Radar-Target Assignment in Low Probability of Intercept Radar Networks: A Machine-Learning Approach

IEEE Open Journal of the Communications Society, 2023
To achieve low probability of intercept (LPI) in radar networks for multiple target detection, it is necessary to find the optimal assignment of distributed radars to targets.
Hamid Amiriara, Seyed Mehdi Hosseini Andargoli, Vahid Meghdadi   +2 more
doaj   +1 more source