Abstract / truncated to 115 words (read the full abstract)

Nonlinear parameter estimation for targets is one of the fundamental problem in statistical signal processing, and has attracted a lot of research interest in the past few decades, where higher estimation accuracy is one of the key objectives. Since there is no general closed-form expression on minimum mean-squared error (MSE), the lower bounds on MSE becomes the benchmark on performance evaluation for estimation algorithms. In the past half century, researches are devoted to find a lower bound with global tightness, strong physical interpretability, and ease of use in specific estimation scenarios. Therein, Ziv-Zakai bound (ZZB) has been proven as one of the globally tightest lower bounds. It establishes the intuitive relationship between the estimation error ... toggle 4 keywords

nonlinear parameter estimation – estimation error – performance analysis – ziv-zakai lower bound

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