Coherent TDOA/FDOA estimation method for frequency-hopping signal
@article{Hu2016CoherentTE, title={Coherent TDOA/FDOA estimation method for frequency-hopping signal}, author={Dexiu Hu and Zhen Huang and Kaiqiang Liang and Shangyu Zhang}, journal={2016 8th International Conference on Wireless Communications \& Signal Processing (WCSP)}, year={2016}, pages={1-5}, url={https://api.semanticscholar.org/CorpusID:11993368} }
A coherent accumulation method that normalizes the FDOA of every hopping pulse and then accumulates all these modified CAFs coherently can enlarge the accumulative time length and improveFDOA resolution and accuracy distinctly.
11 Citations
A fast TDOA and VDOA estimation method of the wideband frequency hopping signal
- 2022
Engineering, Computer Science
A fast and high-precision estimation algorithm for the time difference of arrival and velocity difference of wideband frequency hopping signals is proposed and the simulation experiment of the proposed method verifies the correctness and performance superiority of the algorithm.
Coherent Estimation of Range Difference and Range Rate Difference for Unknown Frequency Hopping Signals
- 2019
Engineering, Computer Science
This paper addresses the estimation problem of range difference and range rate difference for unknown frequency hopping signals in passive emitter localization, considering the range migration (RM)…
A Novel Long‐Time Accumulation Method for Double‐Satellite TDOA/FDOA Interference Localization
- 2018
Engineering
A novel LTA method based on signal segmentation is proposed, which demonstrates that greater signal-to-noise ratio (SNR) gain is achieved by the proposed method, compared to the traditional CAF-based method.
Passive Localization for Frequency Hopping Signal Emitter Based on Synthetic Aperture Principle
- 2023
Engineering
The frequency hopping (FH) signal has received much research interest due to its low interception probability. In the FH signal localization, the variation of signal frequency introduces error into…
Joint Estimation of Range Difference and Range Rate Difference for Unknown Frequency Hopping Signals in Passive Localization
- 2019
Engineering, Computer Science
Numerical experiments indicate that compared with several representative methods, the proposed estimation method achieves a better anti-noise performance with lower computational cost.
Coherent Estimation of Three Positioning Measurements for Unknown Frequency-Hopping Signals in Passive Emitter Localization
- 2020
Engineering
This paper addresses the problem of positioning measurement estimation for unknown FH signals in passive localization, considering the range migration and Doppler frequency migration of the maneuvering target within the observation time and proposes a coherent range difference, range rate difference and acceleration difference estimation algorithm.
Coherent Estimation of Three Positioning Measurements for Unknown Frequency-Hopping Signals in Passive Emitter Localization
- 2019
Engineering
Due to the superior anti-interception performance and inherent security features, the wide applications of frequency-hopping (FH) signals bring a great challenge to the reconnaissance and monitoring…
High-Precision Joint TDOA and FDOA Location System
- 2024
Engineering
Passive location based on TDOA (time difference of arrival) and FDOA (frequency difference of arrival) is the mainstream method for target localization. This paper proposes a fast time–frequency…
Drone Controller Localization Based on TDoA
- 2025
Engineering, Computer Science
This paper studies time difference of arrival (TDoA)based algorithms for drone controller localization and analyzes TDoA estimation in multipath channels and proposes two algorithms to enhance localization accuracy in multipath environments: the Maximum Likelihood algorithm, and the Least Squares Bancroft with GaussNewton with GaussNewton algorithm.
A Multi-Pulse Cross Ambiguity Function for the Wideband TDOA and FDOA to Locate an Emitter Passively
- 2022
Engineering
A multi-pulse cross ambiguity function (MPCAF) to compress the data before transmitting and then estimate the TDOA and FDOA with the compressed data and the hardware-in-the-loop simulation confirms the method’s effectiveness.
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