TY - GEN
T1 - Parameter estimation of linear frequency-modulated signals using integrated cubic phase function
AU - Wang, Pu
AU - Li, Hongbin
AU - Himed, Braham
PY - 2008
Y1 - 2008
N2 - In this paper, an integrated cubic phase function (ICPF) for parameter estimation of linear frequency-modulated (LFM) signals is introduced. The ICPF extends the standard cubic phase function (CPF) and provides improved estimation performances in cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals, at the cost moderately increased complexity. The asymptotic bias and mean squared error (MSE) of an ICPF-based estimator are derived in closedform and verified by computer simulation. A comparison with several existing approaches shows that the ICPF serves as a good candidate for LFM signal analysis.
AB - In this paper, an integrated cubic phase function (ICPF) for parameter estimation of linear frequency-modulated (LFM) signals is introduced. The ICPF extends the standard cubic phase function (CPF) and provides improved estimation performances in cases involving low signal-to-noise ratio (SNR) and multi-component LFM signals, at the cost moderately increased complexity. The asymptotic bias and mean squared error (MSE) of an ICPF-based estimator are derived in closedform and verified by computer simulation. A comparison with several existing approaches shows that the ICPF serves as a good candidate for LFM signal analysis.
KW - Frequency-modulated signal
KW - Parameter estimation
KW - Statistical signal processing
UR - http://www.scopus.com/inward/record.url?scp=70349656667&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349656667&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2008.5074453
DO - 10.1109/ACSSC.2008.5074453
M3 - Conference contribution
AN - SCOPUS:70349656667
SN - 9781424429417
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 487
EP - 491
BT - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
T2 - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Y2 - 26 October 2008 through 29 October 2008
ER -