TDOA/FDOA estimation algorithm of frequency‐hopping signals based on CAF coherent integration

Ouyang, Xinxin; He, Qing; Yang, Yuxiang; Wan, Qun

doi:10.1049/iet-com.2019.0185

“…The signal model of the m-th short-time segment after time-domain segmentation can be described as ( 5 ) where m=1, 2, …, M, M is the quantity of short-term segments, is the pth frequency hopping pulse in the m-th short-term segment, is the central moment of the mth short-time segment. After down-converting and sampling each short-time segment signal, the mth discrete signal model can be written as (6) Where k=1, 2 ... K, K is the quantity of sampling points of each short-term segment, is the sampling time interval, and is the center carrier frequency of the entire hopping frequency band.…”

Section: Signal Modelmentioning

confidence: 99%

“…Therefore, the narrowband time-frequency difference estimation model has a model mismatch. For this reason, literature [5] studies the time-frequency difference estimation method of frequency hopping signal based on coherent accumulation, but only realizes the coherent accumulation estimation of frequency difference [6][7] proposes a frequency-normalized frequency-hopping signal coherent accumulation time-frequency difference estimation algorithm on this basis. However, the key step of frequency normalization is highly dependent on a priori information; that is, each frequency hopping pulse's carrier frequency is precisely known, which is difficult to achieve in non-cooperative target reconnaissance.…”

Section: Introductionmentioning

confidence: 99%

A fast TDOA and VDOA estimation method of the wideband frequency hopping signal

Zhu

¹

,

Wu

²

,

Guo

³

et al. 2022

J. Phys.: Conf. Ser.

0

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In the mobile multi-station passive positioning scenario, the carrier frequency hopping of the wideband frequency hopping communication signal will produce a changing Doppler frequency shift. Therefore, it is not possible to directly estimate the Doppler frequency difference of the observed signal containing multiple pulses. In this case, only the time difference and frequency difference of the single-hop signal can be estimated, but the accuracy is low. The existing methods often need the carrier frequency of each FH pulse signal as a priori information, and the high computational complexity of the two-dimensional search method of the time difference and frequency difference is difficult to overcome. Aiming at the above problems, a fast and high-precision estimation algorithm for the time difference of arrival and velocity difference of wideband frequency hopping signals is proposed in this paper. Firstly, the wideband frequency hopping signal is segmented in the time domain with multiple pulses as the unit, the signal model of time-varying time difference is established, and the time difference of each short-time segment is estimated by the generalized cross-correlation algorithm. The estimated values of the initial time difference and Doppler velocity difference can be worked out by least squares fitting of the time difference sequence obtained from the single pulse estimation. Finally, taking the Link16 data link signal as an example, the simulation experiment of the proposed method is conducted, which verifies the correctness and performance superiority of the algorithm.

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“…It has also been shown that, by increasing the number of subcarriers, the mitigation of the IPCs can be enhanced [146]. Although FH techniques are useful for mitigating the effects of MPCs, there are open issues that need to be carefully addressed such as hop impairments (e.g., phased offset and group delay), especially for time-based localization techniques [145,167]. In contrast, employing FH for mitigating the effects of MPCs in RSS-based localization techniques is much easier.…”

Section: ) Mitigation Of Multipath Componentsmentioning

confidence: 99%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

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With the advances in new technological trends and the reduction in prices of sensor nodes, wireless sensor networks (WSNs) and their applications are proliferating in several areas of our society such as healthcare, industry, farming, and housing. Accordingly, in recent years attention on localization has increased significantly since it is one of the main facets in any WSN. In a nutshell, localization is the process in which the position of any sensor node is retrieved by exploiting measurements from and between sensor nodes. Several techniques of localization have been proposed in the literature with different localization accuracy, complexity, and hence different applicability. The localization accuracy is limited by fundamental limitations, theoretical and practical, that restrict the localization accuracy regardless of the technique employed in the localization process. In this paper, we pay special attention to such fundamental limitations from the theoretical and practical points of view and provide a comprehensive review of the state-of-the-art solutions that deal with such limitations. Additionally, discussion on the theoretical and practical limitations together with their recent solutions, remaining challenges, and perspectives are presented.

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“…Medium access control level [142][143][144][145][146] The FH technique is employed for mitigating the effects of the IPCs. The information obtained in all the available channels is used for increasing the ranging accuracy, which will result in the improvement of the localization accuracy.…”

Section: Mitigationmentioning

confidence: 99%

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Najarro¹,

Song²,

Kim³

2021

Preprint

View full text Add to dashboard Cite

With the advances in new technological trends and the reduction in prices of sensor nodes, wireless sensor networks (WSNs) and their applications are proliferating in several areas of our society such as healthcare, industry, farming, and housing. Accordingly, in recent years attention on localization has increased significantly since it is one of the main facets in any WSN. In a nutshell, localization is the process in which the position of any sensor node is retrieved by exploiting measurements from and between sensor nodes. Several techniques of localization have been proposed in the literature with different localization accuracy, complexity, and hence different applicability. The localization accuracy is limited by fundamental limitations, theoretical and practical, that restrict the localization accuracy regardless of the technique employed in the localization process. In this paper, we pay special attention to such fundamental limitations from the theoretical and practical points of view and provide a comprehensive review of the state-of-the-art solutions that deal with such limitations. Additionally, discussion on the theoretical and practical limitations together with their recent solutions, remaining challenges, and perspectives are presented.

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TDOA/FDOA estimation algorithm of frequency‐hopping signals based on CAF coherent integration

Cited by 10 publications

References 24 publications

A fast TDOA and VDOA estimation method of the wideband frequency hopping signal

A fast TDOA and VDOA estimation method of the wideband frequency hopping signal

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

Fundamental Limitations and State-of-the-art Solutions for Target Node Localization in WSNs

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