Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Research graph
References from A unified spatiotemporal–geometry framework for target classification and localisation in dual-static passive radar. Local targets link to admitted publications; unresolved targets remain external evidence.
Passive coherent location radar systems. Part 1: Performance prediction
10.1049/ip-rsn:20045082 · 2005 · External reference
FM radio based bistatic radar
10.1049/ip-rsn:20045077 · 2005 · External reference
Through-the-Wall Sensing of Personnel Using Passive Bistatic WiFi Radar at Standoff Distances
10.1109/tgrs.2011.2164411 · 2012 · External reference
Two Methods for Target Localization in Multistatic Passive Radar
10.1109/taes.2012.6129656 · 2012 · External reference
An Accurate Algebraic Solution for Moving Source Location Using TDOA and FDOA Measurements
10.1109/tsp.2004.831921 · 2004 · External reference
Multistatic micro‐Doppler radar feature extraction for classification of unloaded/loaded micro‐drones
10.1049/iet-rsn.2016.0063 · 2017 · External reference
Radar-Based Human-Motion Recognition With Deep Learning: Promising Applications for Indoor Monitoring
10.1109/msp.2018.2890128 · 2019 · External reference
Human Detection and Activity Classification Based on Micro-Doppler Signatures Using Deep Convolutional Neural Networks
10.1109/lgrs.2015.2491329 · 2016 · External reference
Developments in target micro-Doppler signatures analysis
10.1186/1687-6180-2013-47 · 2013 · External reference
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
10.1109/msp.2020.3016905 · 2021 · External reference
Radar Human Activity Recognition with an Attention-Based Deep Learning Network
10.3390/s23063185 · 2023 · External reference
Deep-Learning for Radar: A Survey
10.1109/access.2021.3119561 · 2021 · External reference
Enhanced range doppler mapping algorithm for passive GNSS based radar aerial target detection
10.1038/s41598-025-25819-2 · 2025 · External reference
Reconstructing Spatial Localization Error Maps via Physics-Informed Tensor Completion for Passive Sensor Systems
10.3390/s26020597 · 2026 · External reference
End-to-end deep learning for joint target detection and localisation in monostatic radar
2023 · External reference
A deep learning algorithm for joint direct tracking and classification of manoeuvring sources
10.1049/rsn2.12254 · 2022 · External reference
Unresolved reference
2017 · External reference
Deep Networks for Direction-of-Arrival Estimation in Low SNR
10.1109/tsp.2021.3089927 · 2021 · External reference
Improved target localisation in multi-waveform, multi-band hybrid multistatic radar networks
2022 · External reference
Passive Radar: Past, Present, and Future Challenges
10.1109/maes.2022.3221685 · 2023 · External reference
Unresolved reference
External reference
The Levenberg-Marquardt algorithm: Implementation and theory
1978 · External reference
SimHumalator: An Open-Source End-to-End Radar Simulator for Human Activity Recognition
10.1109/maes.2021.3138948 · 2022 · External reference
Micro-Doppler classification for ground moving targets with data augmentation using a generative adversarial network
2022 · External reference