The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Accurate Delay Estimation for Multisensor Passive Locating Systems Exploiting the Cross-Correlation Between Signals Cross-Correlations
Open accessAbstract
The availability of accurate estimates of the delay or time of arrival of the incoming signals is of paramount importance for the position estimation in passive radars with multiple receivers. This correspondence aims at improving estimation of the delays by multiple detectors exploiting the cross-correlation between the cross-correlation estimates (say cross-cross-correlation) of the received signals. The resulting equation system is formulated as a least squares minimization problem, whose solution is efficiently found computing the pseudoinverse of the model matrix. In fact, the cross-cross-correlation implicitly performs a filtering operation on the considered signal, approximating the generalized cross-correlator behavior, without using statistical information about the signal spectra. The proposed method is numerically validated in comparison with classic counterparts and theoretical bounds.
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Cites
The generalized correlation method for estimation of time delay
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“Summarizing the above results, it could be claimed that the CCC has better performance than CC for a low SNR, since it performs a filtering operation on the received signal, which approximates the optimum prefilter of the GCC, but without requiring a priori information about the signal’s bandwidth.”
BackgroundMethodInfluentialWang, Y., Li, J., & Stoica, P. (2005) · Synthesis lectures on signal processing · doi:10.1007/978-3-031-02525-9 · Cited by 2,887
An Accurate Algebraic Solution for Moving Source Location Using TDOA and FDOA Measurements
Ho, K. C., & Xu, W. M. (2004) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2004.831921 · Cited by 620
An overview on the time delay estimate in active and passive systems for target localization
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Two Methods for Target Localization in Multistatic Passive Radar
Malanowski, M., & Kulpa, K. (2012) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2012.6129656 · Cited by 293
Solution and performance analysis of geolocation by TDOA
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Time delay estimation by generalized cross correlation methods
Azaria, M., & Hertz, D. (1984) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1984.1164314 · Cited by 245
Source localization in reverberant environments: modeling and statistical analysis
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Applications of digital signal processing
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Cited by
Sorted by citations
Multi-TDOA Estimation and Source Direct Position Determination Based on Parallel Factor Analysis
Li, J., Li, Y., Jiang, H., et al. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3228810 · Cited by 26
“Traditional TDOA estimation algorithms are based on the correlation theory, for instance, the two received signals are correlated and the maximum value is searched to obtain the TDOA estimate [15].”
MethodGiunta, G., Pallotta, L., & Orlando, D. (2022) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2022.3210893 · Cited by 23
“This limitation is overcome in [8], where a delay estimation method, that intrinsically implements the GCC filter without prior information, is designed.”
BackgroundMethodInfluentialSelf-citationWavelet-based and data-adaptive methods for time delay estimation in acoustic leak detection
Uchendu, N., Muggleton, J. M., & White, P. R. (2024) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2024.111727 · Cited by 20
Reconfigurable Intelligent Surface-Aided Emitter Localization
Asl, A. E., Karbasi, S. M., & Behroozi, H. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3209983 · Cited by 15
“There is a lot of work on emitter localization based on the TDOA approach (see [16], [17], [18]).”
Maximum Correntropy Criterion With Variable Center for Robust Passive Multistatic Localization
Hu, K., Xiong, W., He, J., et al. (2023) · IEEE Signal Processing Letters · doi:10.1109/lsp.2023.3322092 · Cited by 11
“Even in a stricter “passive” setting, where the transmitted signals are not entirely known or cannot be precisely estimated, one can turn to specially-designed passive signal processing techniques, as exemplified by [11], to measure the associated time delays and ranges.”
Method
Metadata
- Authors
- Pallotta, L., & Giunta, G.
- Affiliations
- Roma Tre University (IT)
- Venue
- IEEE Transactions on Aerospace and Electronic Systems
- Published
- 2022-06
- Volume
- 58
- Issue
- 3
- Pages
- 2568-2576
- ISSN
- 0018-9251 (ISSN-L)
- 1557-9603
- 2371-9877
- OpenAlex
- W3203937812
- Semantic Scholar
- 7897822a91233f868bdc08f596c90ac979e799ca
- Cited by
- 38
- References
- 34
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 7 · 2023: 10 · 2022: 4
- FWCI
- 2.71
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- IEEE Transactions on Aerospace and Electronic Systems (publishedVersion)
- CINECA IRIS Institutional Research Information System (University of Basilicata) (submittedVersion, other-oa)
- Iris (Roma Tre University) (submittedVersion, other-oa)
- Iris (Roma Tre University) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Radar Systems and Signal Processing
- Physical Sciences › Computer Science › Signal Processing › Direction-of-Arrival Estimation Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Keywords
- time delay estimation, time of arrival, passive radar, cross correlation function, multiple detectors, least squares, pseudoinverse, positioning, signal filtering
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- The paper
- Pallotta, L., & Giunta, G. (2022). Accurate Delay Estimation for Multisensor Passive Locating Systems Exploiting the Cross-Correlation Between Signals Cross-Correlations. IEEE Transactions on Aerospace and Electronic Systems. https://doi.org/10.1109/taes.2021.3116927
