PRECISION AND SENSITIVITY OF COHERENT AND INCOHERENT INVERSION METHODS: A COMPARATIVE STUDY

This paper presents a comparative study of the precision and sensitivity of coherent and incoherent inversion methods to modeling errors. It is based on the use of performance analysis tools:(i) the Cramer Rao lower bound, that establishes a bound on the precision of parametric estimates;(ii) a generalization of the classical ambiguity function that assesses the global performance under incorrect modeling assumptions, e.g. introduction of biases. Results showing the behaviour of the two methods are presented for specific examples.