Paper Info
Title
Waveform selection for range and Doppler estimation via Barankin bound signal-to-noise ratio threshold
Abstract
In this paper, we consider the tracking of a radar target with unknown range and range rate at low signal-to-noise ratio (SNR). For this nonlinear estimation problem, the Cramér-Rao lower bound (CRLB) provides a bound on an unbiased estimator's mean-squared error (MSE). However, there exists a threshold SNR at which the estimator variance deviates from the CRLB. We consider the Barankin bound (BB) on the range and range-rate variance in order to obtain a tighter lower bound at low SNR, and we use the BB to predict the SNR threshold for a transmitted signal. We demonstrate that the BB with the additional information provided by the threshold SNR has an advantage over the CRLB in selecting the optimal transmit waveform at low SNRs. We also develop a waveform parameter configuration method that uses the BB and the ambiguity function resolution cell measurement model to optimize the SNR threshold.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6854485
Acoustics, Speech and Signal Processing
Keywords
DocType
ISSN
mean square error methods,radar signal processing,radar tracking,target tracking,BB,Barankin bound,Barankin bound signal-to-noise ratio threshold,CRLB,Cramér-Rao lower bound,Doppler estimation,MSE,SNR,cell measurement model,mean-squared error,nonlinear estimation problem,optimal transmit waveform,radar target tracking,transmitted signal,waveform parameter configuration method,waveform selection
Conference
1520-6149
Citations 
PageRank 
References 
1
0.36
9
Authors
4
Name
Order
Citations
PageRank
John Kota121.40
Narayan Kovvali2255.57
Daniel W. Bliss366745.51
Antonia Papandreou-Suppappola423429.88