Paper Info
An Approximate Cramer-Rao Lower Bound for Multiple LFMCW Signals
B Hamschin, M Grabbe
IEEE Transactions on Aerospace and Electronic Systems 53
(3), 1365-1374, 2017.
Reviews
From
yassendobrev, rated
5/5.
July 26, 2021.
An interesting paper deriving the CRLB for 2 LFMCW signals with estimation parameters their amplitude, starting frequency, chirp slope, time offsets, duration, and phase. The correctness of the CRLB is proven by comparing it to the result of a simulation using MLE. The paper shows that the estimation performance for the case of a single target is the same as for 2 targets, since the parameters are uncorrelated.
I was hoping to see a derivation of the CRLB for 2 sinusoidal signals with parameters amplitude, frequency, and phase. In this case the estimation performance should be degraded when the signals are close in frequencies and out of phase, as they would cancel out.
An Approximate Cramer-Rao Lower Bound for Multiple LFMCW Signals
B Hamschin, M Grabbe
IEEE Transactions on Aerospace and Electronic Systems 53 (3), 1365-1374, 2017.
Reviews
From
yassendobrev, rated
5/5.
July 26, 2021.
An interesting paper deriving the CRLB for 2 LFMCW signals with estimation parameters their amplitude, starting frequency, chirp slope, time offsets, duration, and phase. The correctness of the CRLB is proven by comparing it to the result of a simulation using MLE. The paper shows that the estimation performance for the case of a single target is the same as for 2 targets, since the parameters are uncorrelated.I was hoping to see a derivation of the CRLB for 2 sinusoidal signals with parameters amplitude, frequency, and phase. In this case the estimation performance should be degraded when the signals are close in frequencies and out of phase, as they would cancel out.