Improved TOA and Pulse Width Estimation for Wideband Signal in Electronic Warfare Systems

Bang, Jong-Hyeon; Park, Do-Hyun; Kim, Hyoung-Nam

doi:10.23919/eurad54643.2022.9924923

Cited by 2 publications

(2 citation statements)

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“…In addition, simulation was performed under AWGN, and we assumed that the information about the mean and variance of AWGN could be known in advance when no signal was received. We compared the proposed method with the modified sinc wavelet and the Gaussian wavelet discussed in [33]. As these methods focused only on noise suppression, parameter estimation was not considered.…”

Section: Performance Evaluation a Simulation Setupmentioning

confidence: 99%

Accurate Estimation of LPI Radar Pulse Train Parameters via Change Point Detection

et al. 2023

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Estimating the time of arrival (TOA), pulse width (PW), and pulse repetition interval (PRI) is critical for identifying the low probability of intercept (LPI) radar signals as it is common in electronic warfare (EW) to experience a pulse train being received. To determine these parameters, we need to differentiate between pulse and noise in a pulse train. However, separating the LPI radar pulse train into pulse and noise is challenging owing to its characteristics and modulation scheme. Therefore, we propose a method to accurately estimate TOA, PW, and PRI using change point detection, which can effectively classify the pulse train into pulse and noise. The main contributions of this study are as follows. First, a denoising method robust to various modulation schemes is introduced. Second, an algorithm capable of estimating the parameters without considering the threshold calculation is presented. Moreover, most prior studies have entailed parameter estimations for a single pulse. In contrast, we focus on estimating parameters when a pulse train is intercepted and generating superior results even in the signal-to-noise ratio under 0 dB. We present experiments performed on the following eight modulation schemes: linear frequency modulation, Costas, Barker, Frank, P1, P2, P3, and P4 codes. Furthermore, we compare the proposed method with the wavelet-based method, which has received much attention in EW. The results demonstrate that the proposed method outperforms the conventional approaches.INDEX TERMS Electronic warfare, LPI radar signal, parameter estimation, change point detection.

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Section: Performance Evaluation a Simulation Setupmentioning

confidence: 99%

Accurate Estimation of LPI Radar Pulse Train Parameters via Change Point Detection

et al. 2023

Self Cite

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“…The authors of [10] utilized an iterative-adaptive approach to resolve multipath signals in the ToA domain, followed by a conventional beamformer to retrieve the desired line-of-sight DoA. The authors of [11] proposed a de-noising technique with constant false alarm rate detection, which was based on sinc filter banks. The aim of this technique was to optimize the estimation accuracy deterioration that occurs when wavelet de-noising was applied in the estimation of ToA.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Random Access Reception Algorithm for ToA Estimation in NB-IoT

Li¹,

Xiang

Ding

et al. 2023

Electronics

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Narrowband Internet of Things (NB-IoT) aims to provide wide coverage for a massive number of low-cost devices. Therefore, an NB-IoT physical random access channel (NPRACH) preamble based on a single tone signal with frequency hopping was designed, enabling the base station to estimate the time-of-arrival (ToA) values for realizing uplink synchronization among multiple users. However, due to residual carrier frequency offset (RCFO) in the NPRACH preamble, it is crucial to keep the accuracy of the ToA estimation. Recognizing this urgency, in this paper we first judiciously investigate the effect of the hooping distance on ToA estimation. With which, we propose an efficient receiving algorithm to improve the accuracy of ToA estimation. The main aim of the algorithm is to treat two consecutive symbol groups as a whole and then carry out difference calculations on the two newly constituted symbol groups to construct a more logical frequency hopping distance. Extensive numerical results validate the superiorly of our proposed scheme compared against conventional strategies, showing that the probability of the ToA estimation obtained by this method is 99% within the acceptable error range.

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Improved TOA and Pulse Width Estimation for Wideband Signal in Electronic Warfare Systems

Cited by 2 publications

References 10 publications

Accurate Estimation of LPI Radar Pulse Train Parameters via Change Point Detection

Accurate Estimation of LPI Radar Pulse Train Parameters via Change Point Detection

An Efficient Random Access Reception Algorithm for ToA Estimation in NB-IoT

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