Precession Parameter Estimation of Warhead With Fins Based on Micro-Doppler Effect and Radar Network

Zhang, Rongzheng; Wang, Yong; Yeh, Chunmao; Lu, Xiaofei

doi:10.1109/taes.2022.3182635

Cited by 10 publications

(2 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to civilian applications, relevant research has also been conducted in the military domain. For instance, based on the estimation of target micro-motion parameters, the identification of warheads has been accomplished, taking into account the different forms of target micro-motions (Gao et al, 2010;Han, Feng, 2020;Zhang et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Research on the Motion Features Model for Underwater Targets with Multiple Highlights and Multiple Micro-Motion Forms

Sun,

Zhou,

Peng

2024

Archives of Acoustics

View full text Add to dashboard Cite

Motion characterization, including Doppler and micro-Doppler, is crucial for the detection and identification of high-speed underwater targets. Under high-frequency and short-range conditions, underwater targets cannot be simply regarded as single highlight targets as they exhibit a complex structure with multiple scattering centers accompanied by distinct micro-motions. To address this multi-highlight and multi-micro-motion scenario, a model is proposed to characterize the motion features of underwater targets. Firstly, a mathematical model is established to represent the micro-Doppler features based on the single-highlight model. Subsequently, considering the overlap of multiple highlight echoes caused by the high-speed translation of the target and the long pulse detection signal, precise representation is achieved by setting motion positions and calculating time delays within the model. The results represent the echoes of moving targets with multiple highlights and micromotions. Finally, a time-frequency analysis method is employed to extract motion features and estimate target parameters, thereby validating the accuracy and effectiveness of the proposed model. This research provides a theoretical foundation for the modeling of underwater moving targets.

show abstract

Section: Introductionmentioning

confidence: 99%

Research on the Motion Features Model for Underwater Targets with Multiple Highlights and Multiple Micro-Motion Forms

Sun,

Zhou,

Peng

2024

Archives of Acoustics

View full text Add to dashboard Cite

show abstract

“…N OWADAYS, one can find aerial vehicles with extreme maneuverability, such as drones [1], [2], jets or aircrafts [3], [4], rockets [5], and warheads [6]. Giving unique abilities to flying targets is particularly important on the battlefield as it allows such targets to avoid attacks by rapid acceleration and changes in flight direction.…”

Section: Introductionmentioning

confidence: 99%

Target Acceleration Estimation in Active and Passive Radars

Abratkiewicz,

Malanowski,

Gajo

2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

Flying targets are becoming increasingly maneuverable, contributing to the growing problem of their detection with active and passive radars. Rapid acceleration causes blurring of the target echo on the range-Doppler (RD) map, which reduces the signal-to-noise ratio (SNR) in a given range and velocity cell. This paper proposes a novel, non-parametric approach to quickly and efficiently estimating target acceleration on the RD map. In the paper, a universal signal model for an active frequency-modulated continuous wave radar and a passive radar is introduced. Based on this model, an estimation algorithm has been developed that can be applied to both active and passive radars. Compared to the method known from the literature, the proposed solution is much faster (even more than 100 times) while maintaining numerical stability and allowing for the estimation of acceleration of many targets to be performed simultaneously. The proposed method was supported by simulation tests and signals from real-life active and passive radars observing a jet fighter and a drone. The obtained outcomes show that the proposed technique can be successfully used for autonomous real-time systems that detect and estimate the parameters of maneuvering vehicles.

show abstract

Multisynchrosqueezing short-time fractional Fourier transform and its application in rolling bearing instantaneous frequency estimation

Jiang,

Hu,

Zhou

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

Multisynchrosqueezing transform (MSST) enhances the time-frequency energy concentration by using iterative reassignment operations in time-frequency analysis (TFA). However, its effectiveness is limited for signals with rapidly changing instantaneous frequency. To address this issue, this paper presents a novel time-frequency representation (TFR) method called multisynchrosqueezing short-time fractional Fourier transform, which offers improved TF concentration for strongly frequency-modulated signals. Firstly, a high-resolution TFR of the signal is obtained by locally optimized short-time fractional Fourier transform (STFrFT). Secondly, iterative synchrosqueezing operations are introduced to further enhance the STFrFT energy concentration, with a termination strategy relying on Rényi entropy proposed to ascertain the optimal number of iterations. Finally, the ideal TFA with high energy concentration is achieved. The proposed method was validated using multi-scene simulated signals and variable-speed bearing signals. The results show that the proposed method exhibits superior time-frequency energy concentration and instantaneous frequency estimation accuracy. The estimation error of the method is consistently at least 40% lower than that of the compared short-time Fourier transform-based methods, as assessed through the evaluation criteria of maximum relative error, mean square error and symmetric mean absolute percentage error.

show abstract

Precession Parameter Estimation of Warhead With Fins Based on Micro-Doppler Effect and Radar Network

Cited by 10 publications

References 29 publications

Research on the Motion Features Model for Underwater Targets with Multiple Highlights and Multiple Micro-Motion Forms

Research on the Motion Features Model for Underwater Targets with Multiple Highlights and Multiple Micro-Motion Forms

Target Acceleration Estimation in Active and Passive Radars

Multisynchrosqueezing short-time fractional Fourier transform and its application in rolling bearing instantaneous frequency estimation

Contact Info

Product

Resources

About