ZIV-ZAKAI bound for harmonic retrieval in multiplicative and additive gaussian noise
Philippe Ciblat, Mounir Ghogho · IEEE/SP 13th Workshop on Statistical Signal Processing, 2005 · 2005
The paper addresses the problem of the lower performance bound evaluation for harmonic retrieval in multiplicative and additive noise, especially when the SNR is low and/or when the number of available samples is small. As a novelty, we express an accurate approximation of the Ziv-Zakai bound in closed-form. This enables us to analyse the influence of some signal parameters on performance and to characterise the so-called threshold region