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Introducing A Modified Iterative Approach in Signal Source Localization Based on TDOA Measurements
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Reza Bahrampour   , Mohammad Hossein Madani * , Hossein Bahramgiri , Hadi Faezi |
| Malek Ashtar University of Technology |
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Abstract: (125 Views) |
Finding the location of the enemy and its equipment is always one of the most critical steps in a military operation. Therefore, signal source localization plays a significant role in command and control of the battlefield. In signal source localization, sensor measurements serve as input data for algorithms, and the source position is estimated based on these measurements. Time Difference of Arrival (TDOA) is a popular method for this purpose. A common approach based on TDOA measurements is the Chan method, which is based on the least squares method. To improve the performance of this method, an iterative approach is employed to reduce the impact of noise on estimation accuracy. The I-Chan method, which iteratively applies the Chan method, is investigated for this purpose. In the I-Chan method, the error decreases inversely with the square root of the number of iterations of the Chan method. However, this method does not perform well in the presence of strong noise, and its error increases significantly. Additionally, the processing time required for this method is relatively high, which can cause significant problems in practical implementations. To address these issues, the I-Chan2 method is introduced, which develops and modifies the I-Chan method's structure. Computer simulations demonstrate that the estimation error of the I-Chan method increases significantly in the presence of strong noise, while the proposed I-Chan2 method maintains its performance. In addition, the time complexity of the proposed method is reduced by more than 50% compared to the I-Chan method. |
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| Keywords: Time Difference of Arrival (TDOA), Source Localization, Passive Localization, Averaging, Noise, Noise Reduction. |
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Full-Text [PDF 1042 kb]
(40 Downloads)
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Type of Study: Research |
Subject:
Electrical Engineering
Received: 2023/04/30 | Accepted: 2023/09/16 | Published: 2025/02/4
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