In this paper, a generalized signal model is presented to accommodate both narrowband and wideband signals in a multi-input multi-output (MIMO) sensor system scenarios. The derived model is then used to define a MIMO ambiguity function based on the Kullback–Leibler divergence. Moreover, the proposed formulation is parametrized using the signal and channel correlation matrices to account for different waveform and sensor placement designs, thereby allowing a flexible modeling approach. A comparison between the proposed definition and the more conventional approach of summing the squared matched filter outputs is presented for different sensors and waveforms configurations.
Generalized Ambiguity Function for MIMO Radar Systems
IEEE Transactions on Aerospace and Electronic Systems ; 55 , 6 ; 2629-2646
2019-12-01
5087941 byte
Article (Journal)
Electronic Resource
English
Ambiguity function for a bistatic radar
IEEE | 1997
|Ambiguity Function for a Bistatic Radar
Online Contents | 1997
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