Abstract | ||
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Bi-static and multi-static radar requires synchronization between transmitter(s) and receiver(s) due to their separated locations. Especially, for the target Doppler estimation, the carrier frequency offset occurred by the discord between the transmit and the receive ends should be estimated before the processing. In this paper, the system model for multi-static radar is provided as a similar form of multi-input multi-output (MIMO) communication system. However, unlike the MIMO case the frequency offset for each receiver is not identical to each other which makes the modeling and problem complicated. Based on the system model, the joint maximum likelihood (ML) solution and the suboptimal estimation is presented for frequency offset compensation. In this approximated approach, each receiver frequency offset is decoupled to others and the computational complexity becomes extremely low while it provides reasonable error performance for small frequency offsets and high signal to noise ratio (SNR). |
Year | DOI | Venue |
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2008 | 10.1109/ICASSP.2008.4517900 | ICASSP |
Keywords | Field | DocType |
ml estimation,frequency estimation,doppler radar,maximum likelihood estimation,multi-static radar system,suboptimal estimation,joint maximum likelihood solution,computational complexity,frequency offset,mimo communication,multi-input multi-output communication,true time delay,bi-static radar,carrier frequency offset estimation,orthogonal sequence,doppler estimation,system modeling,bi static radar,communication system,maximum likelihood,signal to noise ratio | Radar,Doppler radar,Transmitter,Control theory,Computer science,Frequency offset,Carrier frequency offset,Signal-to-noise ratio,MIMO,Bistatic radar | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4244-1484-0 | 978-1-4244-1484-0 | 0 |
PageRank | References | Authors |
0.34 | 3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eunjung Yang | 1 | 0 | 0.34 |
Joohwan Chun | 2 | 396 | 35.12 |