A computationally efficient algorithm to estimate the parameters of a two-dimensional chirp model with the product term-Reference-Cited by-同舟云学术

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A computationally efficient algorithm to estimate the parameters of a two-dimensional chirp model with the product term

Published:2023-05-11 Issue:3 Volume:34 Page:633-655
ISSN:0923-6082
Container-title:Multidimensional Systems and Signal Processing
language:en
Short-container-title:Multidim Syst Sign Process

Author:

Shukla Abhinek,Grover Rhythm,Kundu Debasis,Mitra Amit

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software

Link

https://link.springer.com/content/pdf/10.1007/s11045-023-00879-7.pdf

Reference24 articles.

1. Barbarossa, S., Scaglione, A., & Giannakis, G. B. (1998). Product high-order ambiguity function for multicomponent polynomial-phase signal modeling. IEEE Transactions on Signal Processing, 46(3), 691–708.

2. Barbarossa, S., Di Lorenzo, P., & Vecchiarelli, P. (2014). Parameter estimation of 2D multi-component polynomial phase signals: An application to SAR imaging of moving targets. IEEE Transactions on Signal Processing, 62(17), 4375–4389.

3. Djurović, I., Wang, P., & Ioana, C. (2010). Parameter estimation of 2-D cubic phase signal using cubic phase function with genetic algorithm. Signal Processing, 90(9), 2698–2707.

4. Djurović, I., & Stanković, L. (2014). Quasi-maximum-likelihood estimator of polynomial phase signals. IET Signal Processing, 8(4), 347–359.

5. Djurović, I. (2017). Quasi ML algorithm for 2-D PPS estimation. Multidimensional Systems and Signal Processing, 28(2), 371–387.

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