Ground clutter simulation for airborne forward‐looking multi‐channel LFMCW radar

Hai, Li; Duan, Jialing; Song, Dongfang

doi:10.1049/joe.2019.0509

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…The scattering cells on the ground at an equal range to the radar platform are distributed in a range ring and we divide the ring into P scattering cells. One of the scattering cells is taken for signal modelling analysis and is denoted as the scattering point p [24]. The initial range from p to the radar is R p (concerning the array element in row 1, column 1).…”

Section: Problem Formulationmentioning

confidence: 99%

“…In this section, the signal model and the theoretical analysis of the airborne rotating antenna radar system are carried out [22][23][24]. The airborne rotating array antenna radar observation configuration is shown in Figure 1.…”

Section: Radar Geometry and Signal Modelmentioning

confidence: 99%

“…The superscript ( T ) represents the matrix transpose operation. Equation (24) shows that there is a perturbation matrix M p due to the presence of the antenna rotation. From Equation ( 27), we know that M p is related to the rotational speed of the antenna, the pulse repetition interval, the spacing of the array elements, the angle of the scattering point towards the array surface and the wavelength of the signal.…”

Section: Radar Geometry and Signal Modelmentioning

confidence: 99%

See 2 more Smart Citations

Clutter suppression and target energy focussing for airborne rotating antenna radar using improved Space‐time adaptive processing

Zhou

Deng

et al. 2022

IET Radar Sonar & Navi

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Rotating antenna radar is widely used on the airborne platform to extend the range of the radar detection airspace. However, the echo signal received by an airborne rotating radar is spread in the Doppler domain due to the platform motion and the antenna rotation. In the process of a long-time integration, the antenna rotation harms the signal-to-noise ratio and reduces the performance of target detection when using conventional processing methods. Although conventional space-time adaptive processing (STAP) has been used successfully to suppress clutter on an airborne radar, it does not take into account the antenna rotation. It decreases the performance of clutter suppression on the airborne rotating antenna radar. The signal model of airborne rotating antenna radar is analysed and the STAP technique to the rotating antenna scenario is improved to effectively suppress clutter and focus on target energy. Firstly, the echo of the airborne rotating antenna radar is modelled. Secondly, the factors affecting the Doppler difference of the array elements are investigated. Thirdly, an improved STAP method is proposed. Finally, the effect of antenna rotation on clutter Doppler characteristics and the clutter suppression and target energy focussing on the effects of the improved STAP technique are investigated. Experimental results demonstrate the effectiveness of the proposed method.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Radar Geometry and Signal Modelmentioning

confidence: 99%

Section: Radar Geometry and Signal Modelmentioning

confidence: 99%

See 1 more Smart Citation

Clutter suppression and target energy focussing for airborne rotating antenna radar using improved Space‐time adaptive processing

Zhou

Deng

et al. 2022

IET Radar Sonar & Navi

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“…Currently, SAR image simulation methods can be classified into time-domain and frequency-domain approaches. Among them, time-domain methods mainly include clutter simulation methods based on statistical models [8], backscatter simulation methods based on measured SAR images, and SAR image simulation methods based on digital elevation models (DEMs) [9,10], which are mainly aimed at simulating large-scene SAR images and have the advantage of low algorithm complexity. Frequency-domain methods mainly include finite-difference time-domain (FDTD) [11][12][13], method of moments (MOM) [14][15][16], physical optics (PO), geometric optics (GO), and SBR methods [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

High-Precision GPU-Accelerated Simulation Algorithm for Targets under Non-Uniform Cluttered Backgrounds

Zhang,

Zhou,

Song

et al. 2023

Remote Sensing

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This article presents a high-precision airborne video synthetic aperture radar (SAR) raw echo simulation method aimed at addressing the issue of simulation accuracy in video SAR image generation. The proposed method employs separate techniques for simulating targets and ground clutter, utilizing pre-existing SAR images for clutter simulation and employing the shooting and bouncing rays (SBR) approach to generate target echoes. Additionally, the method accounts for target-generated shadows to enhance the realism of the simulation results. The fast simulation algorithm is implemented using the C++ programming language and the Accelerated Massive Parallelism (AMP) framework, providing a fusion technique for integrating clutter and target simulations. By combining the two types of simulated data to form the final SAR image, the method achieves efficient and accurate simulation technology. Experimental results demonstrate that this method not only improves computational speed but also ensures the accuracy and stability of the simulation outcomes. This research holds significant implications for the development of algorithms pertaining to video SAR target detection and tracking, providing robust support for practical applications.

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Innovative Techniques for Error Mitigation in Target Tracking via Kalman Filter with UTD and Hamming Coding

Kumar

2024

Trans Indian Natl. Acad. Eng.

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Ground clutter simulation for airborne forward‐looking multi‐channel LFMCW radar

Cited by 3 publications

References 13 publications

Clutter suppression and target energy focussing for airborne rotating antenna radar using improved Space‐time adaptive processing

Clutter suppression and target energy focussing for airborne rotating antenna radar using improved Space‐time adaptive processing

High-Precision GPU-Accelerated Simulation Algorithm for Targets under Non-Uniform Cluttered Backgrounds

Innovative Techniques for Error Mitigation in Target Tracking via Kalman Filter with UTD and Hamming Coding

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