@inproceedings{discovery10170781,
            year = {2023},
         address = {San Antonio, TX, USA},
       booktitle = {2023 IEEE Radar Conference (RadarConf23)},
       publisher = {IEEE},
            note = {This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.},
           month = {June},
           title = {Multistatic Radar Data Fusion For Detection With Reduced Transmit Power Consumption},
          author = {Dhulashia, Dilan and Ritchie, Matthew},
        keywords = {Detection, Multistatic Radar, Data Fusion,
Power Consumption},
        abstract = {This paper presents a quantitative comparison of the
detection performance of two multistatic radar detection methods; the first limited by a communications constraint between its
constituent nodes and the second with unlimited communications
capacity. The methods are tested for a selection of scenarios with
differing target positions, and the transmit power requirements
to obtain a similar level of detection performance to that of
a monostatic radar are analysed. The scenarios simulated are
in two-dimensional space and the multistatic system considered
is comprised of a single transmit and three distributed receive
nodes. A cell-averaging constant false alarm rate is used for
the monostatic and both multistatic detection methodologies proposed. It is found that data fusion at a lower level of abstraction,
where communications are non-constrained, can lead to better
detection performance in multistatic systems. Additionally, the
power resource savings compared to an equivalent performance
monostatic system are also presented as part of this work.},
             url = {https://doi.org/10.1109/RadarConf2351548.2023.10149801}
}