An Efficiency-improved Tdoa-based Direct Position Determination Method for Multiple Sources

Ke-gang, Hao; Wan, Qun

doi:10.1109/icassp.2019.8683421

Cited by 7 publications

(5 citation statements)

References 10 publications

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“…In this section, the complexity of the proposed DPD method is compared with those of the TDOA method based on generalized cross-correlation (denoted by TDOA-GCC-SCOT) in [ 12 ], the TDOA method based on cross-spectrum (denoted by TDOA-MUSIC-NCS) in [ 18 ] and the determinant-based DPD method (denoted by DPD-MUSIC-DET) in [ 33 ]. The complexities of different methods are listed in Table 1 , where T is the one-dimensional search times.…”

Section: Performance Analysismentioning

confidence: 99%

“…In order to avoid the expensive hardware cost caused by array-based DPD methods, TDOA-based DPD methods emerge, in which each observation station is equipped with single sensor. In [ 33 ], the authors construct an efficient determinant-based cost function with an orthogonal relationship between the received signals and noise in distributed sensor scenarios. TDOA-based DPD method can be realized by the maximum likelihood estimation (MLE) cost function [ 34 , 35 ], which requires a lower amount of calculation.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, the low complexity is realized by data segmentation and screening of the effective parts of the data, and the data coherent is solved by the process of spatial smoothing. The proposed method is compared with the TDOA method based on GCC in [ 12 ], the TDOA method based on the normalized cross-spectrum (NCS) in [ 18 ], and the determinant-based DPD method in [ 33 ] with simulated data. The effectiveness and superiority of the proposed method are verified by simulation and real-world test results.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Direct Position Determination Method Based on Subspace Orthogonality in Cross-Spectra under Multipath Environments

Zhu

Jiang

Huo

et al. 2022

Sensors

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Without the estimation of the intermediate parameters, the direct position determination (DPD) method can achieve higher localization accuracy than conventional two-step methods. However, multipath environments are still a key problem, and complex high-dimensional matrix operations are required in most DPD methods. In this paper, a time-difference-of-arrival-based (TDOA-based) DPD method is proposed based on the subspace orthogonality in the cross-spectra between the different sensors. Firstly, the cross-spectrum between the segmented received signal and reference signal is calculated and eigenvalue decomposition is performed to obtain the subspaces. Then, the cost functions are constructed by using the orthogonality of subspace. Finally, the location of the radiation source is obtained by searching the superposition of these cost functions in the target area. Compared with other DPD methods, our proposed DPD method leads to better localization accuracy with less complexity. The superiority of this method is verified by both simulated and real measured data when compared to other TDOA and DPD algorithms.

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Section: Performance Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Direct Position Determination Method Based on Subspace Orthogonality in Cross-Spectra under Multipath Environments

Zhu

Jiang

Huo

et al. 2022

Sensors

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“…Most DPD methods only consider narrowband signal, and only consider wideband signal with low carrier frequency such as sonar. Most DPD methods for multiple sources use the signals received by an antenna array [14][15][16][17][18][19]. Considering the problem of locating multiple noncooperative stationary sources using multiple fast moving receivers with a single antenna, this paper is dedicated to estimating the sources location directly from the received signals.…”

Section: Introductionmentioning

confidence: 99%

Direct Position Determination for Noncooperative Source with Fast Moving Receivers

Ye¹,

Lu²,

Huang³

et al. 2022

Wireless Communications and Mobile Computing

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The problem of position estimation for a noncooperative source has always been widely discussed in the field of wireless communication. Direct position determination (DPD) for a noncooperative source with fast moving receivers is discussed in this paper. The sinc function is used to reconstruct the signals, which is an important step in DPD for wideband signals. A DPD method based on the baseband signal is proposed which is more practical in communication signal with high carrier frequency. And based on the proposed DPD method, a DPD method for multiple noncooperative stationary sources by single-channel receivers is presented. In order to evaluate the performance of the proposed DPD method, the Cramér-Rao lower bound (CRLB) for DPD based on baseband signal is derived. Several numerical investigations are carried out to evaluate the performance of the proposed method.

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“…TDOA and FDOA) for each satellite are estimated separately and independently, and thus the constraint that the measurements correspond to the same transmitter position is ignored, leading to performance loss for the final localisation result. In contrast to the conventional two-step methods, direct position determination (DPD) [13][14][15][16][17][18][19][20] is a single-step localisation method which directly localises the transmitter from sensor outputs without computing the intermediate parameters and augments the position estimation by implicitly using the constraint that all measurements correspond to the same geolocation of the transmitter. Therefore, the location accuracy of DPD has shown to be significantly higher than that of the conventional two-step methods, especially under low signal-to-noise ratio (SNR) conditions.…”

Section: Introductionmentioning

confidence: 99%

Single‐step geolocation for a non‐circular source in the presence of satellite orbit perturbations

Yin

Wang

Nie³

et al. 2021

IET Signal Processing

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This study addresses the problem of geolocating a strictly non-circular source on the surface of Earth by a cluster of passive satellites. The known satellite positions and velocities are subject to random errors. The authors propose a single-step satellite geolocation algorithm that directly localises the transmitter from sensor outputs using the information of time delays and Doppler shifts but without explicitly estimating them. It exploits the non-circular property of signals and a priori information of satellite orbit error distribution to jointly calibrate orbit errors and determine the longitude and latitude of the transmitter based on the ellipsoidal Earth model, which integrates an alternating iteration scheme for the estimation of various unknowns instead of the exhaustive grid search. Additionally, a detailed Cramér-Rao bound (CRB) derivation is presented for the single-step satellite geolocation of a non-circular source on Earth with and without satellite orbit perturbations, and it is proved that these CRBs are lower than the associated CRBs for a circular source. The simulation results illustrate that the proposed method asymptotically attains the associated CRB, and shows greater performance robustness to signal-to-noise ratio (SNR) and satellite orbit errors compared with conventional twostep satellite geolocation approaches.

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An Efficiency-improved Tdoa-based Direct Position Determination Method for Multiple Sources

Cited by 7 publications

References 10 publications

A Direct Position Determination Method Based on Subspace Orthogonality in Cross-Spectra under Multipath Environments

A Direct Position Determination Method Based on Subspace Orthogonality in Cross-Spectra under Multipath Environments

Direct Position Determination for Noncooperative Source with Fast Moving Receivers

Single‐step geolocation for a non‐circular source in the presence of satellite orbit perturbations

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