TY - GEN
T1 - An algorithm on parameter estimation of extremely low-CNR LFM signals
AU - Meng-Fei, Han
AU - Wei, Cui
AU - Si-Liang, Wu
PY - 2009
Y1 - 2009
N2 - First, it is pointed out that the widely used Fast-Dechirp algorithm can't be applied to low CNR LFM signals for the reason of SNR-loss existing during self-correlation operation. To attain accurate estimation under extremely-low-CNR condition, a novel algorithm is presented. It bases on the fact that when LFM signals have the same energy and duration their square of spectrum amplitudes are inverse proportional to frequency rates. Merely by means of searching the largest one among several groups of FFT maximum amplitudes, it can give out estimations of initial frequency and frequency rate together, thus easy to be implemented. Simulation results show that through setting proper algorithm parameters, the algorithm can be applied to much lower CNR conditions(available at 20dBHz) than the Fast-Dechip algorithm.
AB - First, it is pointed out that the widely used Fast-Dechirp algorithm can't be applied to low CNR LFM signals for the reason of SNR-loss existing during self-correlation operation. To attain accurate estimation under extremely-low-CNR condition, a novel algorithm is presented. It bases on the fact that when LFM signals have the same energy and duration their square of spectrum amplitudes are inverse proportional to frequency rates. Merely by means of searching the largest one among several groups of FFT maximum amplitudes, it can give out estimations of initial frequency and frequency rate together, thus easy to be implemented. Simulation results show that through setting proper algorithm parameters, the algorithm can be applied to much lower CNR conditions(available at 20dBHz) than the Fast-Dechip algorithm.
KW - Extremely-Low-CNR
KW - LFM Signals
KW - Parameter Estimation
KW - SNR-Loss
UR - http://www.scopus.com/inward/record.url?scp=70350158047&partnerID=8YFLogxK
U2 - 10.1049/cp.2009.0160
DO - 10.1049/cp.2009.0160
M3 - Conference contribution
AN - SCOPUS:70350158047
SN - 9781849190107
T3 - IET Conference Publications
BT - IET International Radar Conference 2009
T2 - IET International Radar Conference 2009
Y2 - 20 April 2009 through 22 April 2009
ER -