Performance comparison of super-resolution estimation algorithms used in real or complex LFMCW systems

Authors :: Pan Weifeng
Chen Yanqin
Li Yang
Liang Liwan
Feng Zhenghe
Source :: ICMMT 2000. 2000 2nd International Conference on Microwave and Millimeter Wave Technology Proceedings (Cat. No.00EX364).
Publication Year :: 2002
Publisher :: IEEE, 2002.
Abstract: In real or complex linear FMCW (LFMCW) radar systems, employing algorithms with super-resolution capability and low SNR threshold can mitigate the system demands for power and bandwidth, and reduce system cost. In this paper, a comparative study among three typical algorithms is carried out on statistical SNR and resolution performance: MUSIC, AR, and neural network. Simulation results show that the neural network algorithm, having higher resolution and lower SNR threshold in both systems, is suitable for LFMCW applications.

Subjects :: Space technology
Artificial neural network
Computer science
Estimation theory
Noise (signal processing)
Bandwidth (signal processing)
Monte Carlo method
Electronic engineering
Algorithm
Frequency modulation
Power (physics)

Database :: OpenAIRE
Journal :: ICMMT 2000. 2000 2nd International Conference on Microwave and Millimeter Wave Technology Proceedings (Cat. No.00EX364)
Accession number :: edsair.doi...........a8fbe7013e49a2ea009930531b8fd254
Full Text :: https://doi.org/10.1109/icmmt.2000.895773

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