Title :
Performance comparison of super-resolution estimation algorithms used in real or complex LFMCW systems
Author :
Yang, Li ; Liwan, Liang ; Weifeng, Pan ; Yanqin, Chen ; Zhenghe, Feng
Author_Institution :
State Key Lab. on Microwave & Digital Commun., Tsinghua Univ., Beijing, China
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
Keywords :
CW radar; FM radar; Hopfield neural nets; Monte Carlo methods; autoregressive processes; eigenvalues and eigenfunctions; estimation theory; noise; radar resolution; statistical analysis; AR algorithm; LFMCW systems; MUSIC algorithm; linear FMCW systems; low SNR threshold; neural network algorithm; performance comparison; statistical SNR performance; statistical resolution performance; super-resolution estimation algorithms; Bandwidth; Chirp modulation; Costs; Frequency modulation; Multiple signal classification; Neural networks; Power system modeling; Signal processing algorithms; Signal resolution; Space technology;
Conference_Titel :
Microwave and Millimeter Wave Technology, 2000, 2nd International Conference on. ICMMT 2000
Conference_Location :
Beijing
Print_ISBN :
0-7803-5743-4
DOI :
10.1109/ICMMT.2000.895773
