Solution and Analysis of TDOA Localization of a Near or Distant Source in Closed Form

Sun, Yimao; Ho, K. C.; Wan, Qun

doi:10.1109/tsp.2018.2879622

Cited by 143 publications

(52 citation statements)

References 40 publications

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“…The closed-form solution of the algorithm was theoretically obtained and was evaluated through system-level simulations without consideration of the wave propagation in reality. This sort of performance-evaluation approach is also found in [16]. In [14], a TDoA algorithm was investigated in the presence of the clock offset and skew in the sensors.…”

Section: Using Simulationsmentioning

confidence: 99%

“…A large number of contributions have been made on the performance evaluation of TDoA localization systems [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29]. They can be categorized into the simulation, the experiment and the combinations of these two.…”

Section: Introductionmentioning

confidence: 99%

“…Many researchers evaluated the performance of localization algorithms through numerical simulations in consideration of the system errors modeled as analytical expressions [11][12][13][14][15][16]. Although these studies provide closed-form solutions to improve the algorithms, they typically assume a simple scenario where only Line-of-Sight (LoS) paths may exist.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Experiment-Free Site-Specific TDoA Localization Performance-Evaluation Approach

Rodríguez-Piñeiro

Liu

et al. 2020

Sensors

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Time difference of arrival (TDoA) technology is widely utilized for source localization, which stimulates many studies on performance-evaluation approaches for TDoA localization systems. Some approaches using simulations are designed merely for a simple Line-of-Sight (LoS) scenario while some other ones using experiments show high cost and inefficiency. This paper proposes an integrated approach to evaluate a TDoA localization system in an area with a complicated environment. Radio propagation graph is applied through a simulation to obtain channel impulse responses (CIRs) between a source to be located and the TDoA sensors for the area. Realistic signals received by the sensors in baseband are emulated combining the source transmitted signal and the CIRs. A hardware unit takes charge of sending the radio emulated received signals to the system under test, which is consistent with real experimental measurements. Statistical analysis of the system is allowed based on localization errors obtained comparing the system’s estimates with the ground truth of the source location. Verified results for LoS and non-LoS scenarios with variable transmitted signal bandwidths and signal-to-noise ratios, as well as for three variations of the sensor locations in an automobile circuit, show the usability of the proposed experiment-free performance-evaluation approach.

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Section: Using Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Experiment-Free Site-Specific TDoA Localization Performance-Evaluation Approach

Rodríguez-Piñeiro

Liu

et al. 2020

Sensors

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show abstract

“…However, there is sign ambiguity since using only ψ can't determine the sign of u elementwise. One way to solve this sign ambiguity is to use the sign given by the first stage [10]. Thus, the final error-reduced estimate is…”

Section: Error Reductionmentioning

confidence: 99%

“…With the rise of the fifth-generation communication system (5G), Internet of things, automatic pilot and unmanned aerial vehicle, localization continues to receive great attention [1][2][3][4]. Based on different type of measurements, the common localization methods estimate the source position using time of arrival (TOA), time difference of arrival (TDOA), angle of arrival (AOA), Doppler frequency, Fingerprint and received signal strength (RSS) [5][6][7][8][9][10][11][12][13]. To improving the accuracy further, a series of hybrid method is developed by combining several kinds of measurements [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Refinement of TOA Localization with Sensor Position Uncertainty in Closed-Form

Gan¹,

Cong²,

Sun

2020

Sensors

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The subject of localization has received great deal attention in the past decades. Although it is perhaps a well-studied problem, there is still room for improvement. Traditional localization methods usually assume the number of sensors is sufficient for providing desired performance. However, this assumption is not always satisfied in practice. This paper studies the time of arrival (TOA)-based source positioning in the presence of sensor position errors. An error refined solution is developed for reducing the mean-squared-error (MSE) and bias in small sensor network (the number of sensors is fewer) when the noise or error level is relatively large. The MSE performance is analyzed theoretically and validated by simulations. Analytical and numerical results show the proposed method attains the Cramér-Rao lower bound (CRLB). It outperforms the existing closed-form methods with slightly raising computation complexity, especially in the larger noise/error case.

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A Multiple Sources Localization Method Based on TDOA Without Association Ambiguity for Near and Far Mixed Field Sources

Liu

Chen

Lin

et al. 2021

Circuits Syst Signal Process

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Solution and Analysis of TDOA Localization of a Near or Distant Source in Closed Form

Cited by 143 publications

References 40 publications

A Novel Experiment-Free Site-Specific TDoA Localization Performance-Evaluation Approach

A Novel Experiment-Free Site-Specific TDoA Localization Performance-Evaluation Approach

Refinement of TOA Localization with Sensor Position Uncertainty in Closed-Form

A Multiple Sources Localization Method Based on TDOA Without Association Ambiguity for Near and Far Mixed Field Sources

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