Performance analysis for time of arrival estimation with oversampled low complexity 1 bit a/d conversion
Analog to digital (A/D) conversion plays a crucial role when it comes to the design of energy efficient and fast signal processing systems. As its complexity grows exponentially with the number of output bits, significant savings are possible when resorting to a minimum resolution of a single bit. However, then the nonlinear effect which is introduced by the A/D converter results in a pronounced performance loss, in particular for the case when the receiver is operated outside the low signal to noise ratio (SNR) regime. By trading the A/D resolution for a moderately faster sampling rate, we show that for time of arrival (TOA) estimation under any SNR level it is possible to obtain a low complexity 1 bit receive system which features a smaller performance degradation then the classical low SNR hard limiting loss of 2/p 1.96 dB) Key to this result is the employment of a lower bound for the Fisher information matrix which enables us to approximate the estimation performance for coarsely quantized receivers with correlated noise models in a pessimistic way.
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)