TY - GEN
T1 - Estimation of chirp signals by mcmc
AU - Lin, Chung Chieh
AU - Djurii, Petar M.
N1 - Publisher Copyright:
© 2000 IEEE.
PY - 2000
Y1 - 2000
N2 - This paper considers the problem of parameter estimation of chirp signals by using the Bayesian methodology. The concept of "mirror points" for constant-Amplitude chirp signals is introduced, and its effect on the overall multicomponent chirp parameter estimation performance assessed. By combining the chirpogram with a Markov Chain Monte Carlo (MCMC) technique, it is shown that accurate est.imates can be obtained for signals comprising many chirps. Simulation results demonstrate that the parameter estimates are in agreement with the CRLB for SNR's as low as 2 dB.
AB - This paper considers the problem of parameter estimation of chirp signals by using the Bayesian methodology. The concept of "mirror points" for constant-Amplitude chirp signals is introduced, and its effect on the overall multicomponent chirp parameter estimation performance assessed. By combining the chirpogram with a Markov Chain Monte Carlo (MCMC) technique, it is shown that accurate est.imates can be obtained for signals comprising many chirps. Simulation results demonstrate that the parameter estimates are in agreement with the CRLB for SNR's as low as 2 dB.
UR - https://www.scopus.com/pages/publications/0033708399
U2 - 10.1109/ICASSP.2000.861938
DO - 10.1109/ICASSP.2000.861938
M3 - Conference contribution
AN - SCOPUS:0033708399
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 265
EP - 268
BT - Signal Processing Theory and Methods I
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
Y2 - 5 June 2000 through 9 June 2000
ER -