Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The aim of this work is the performance analysis of a method for the detection and parameter estimation of mono or multicomponent polynomial-phase signals (PPS) embedded in white Gaussian noise and based on a generalized ambiguity function. The proposed method is shown to be asymptotically efficient for second-order PPS and nearly asymptotically efficient for third-order PPSs. The method presents some advantages with respect to similar techniques, like the polynomial-phase transform, for example, in terms of (i) a closer approach to the Cramer-Rao lor bounds, (ii) a lor SNR threshold, (iii) a better capability of discriminating multicomponent signals.
['Sergio Barbarossa', 'Valentina Petrone']
I am writing a research paper on a idea Analysis of polynomial-phase signals by the integrated generalized ambiguity function
[{"from": "human", "value": "I am writing a research paper on a idea Analysis of polynomial-phase signals by the integrated generalized ambiguity function"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The aim of this work is the performance analysis of a method for the detection and parameter estimation of mono or multicomponent polynomial-phase signals (PPS) embedded in white Gaussian noise and based on a generalized ambiguity function. The proposed method is shown to be asymptotically efficient for second-order PPS and nearly asymptotically efficient for third-order PPSs. The method presents some advantages with respect to similar techniques, like the polynomial-phase transform, for example, in terms of (i) a closer approach to the Cramer-Rao lor bounds, (ii) a lor SNR threshold, (iii) a better capability of discriminating multicomponent signals."}]