@article{amir_castellanos_heath_2023, title={Multi-node joint communication and radar using synchronization signals in 5G}, DOI={10.1109/CAMSAP58249.2023.10403526}, abstractNote={Joint communication and radar (JCR) provide the mutual benefits of sensing and communication with shared hardware and spectral resources. We propose a JCR system with multiple nodes that leverages the 5G communication waveform for range estimation. We analyze a multi-node scenario where each node obtains an individual range estimate and then shares the estimate with other nodes to estimate each node's distance from the target jointly. We propose a linear minimum mean squared error (LMMSE) based estimate that combines the information from all nodes. The estimate can also be adapted to account for quantized feedback. The analysis and simulations for the model show that the proposed method outperforms the baseline models for both quantized and non-quantized methods. The distributed JCR results show that the transceivers in the system can detect the target more robustly, reducing the error in detection by 75%, as compared to the conventional approach.}, journal={2023 IEEE 9TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, CAMSAP}, author={Amir, Shehla and Castellanos, Miguel R. and Heath, Robert W., Jr.}, year={2023}, pages={161–165} }