High-fidelity ladar simulation

Telgarsky, Rastislav J.; Cates, M.R.; Thompson, Cynthia D.; Sanders-Reed, John N.

doi:10.1117/12.538609

Cited by 6 publications

(5 citation statements)

References 8 publications

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“…It depends on surface slope and microscopic properties. For more details about target reflection, it can be found in reference [5,6,7]. In order to simplify the simulation process, assuming the surface reflectance is constant term, which independent of the incidence angle.…”

Section: Target Reflectionmentioning

confidence: 99%

Echo signal modeling of imaging LADAR target simulator

Shi

Wang

et al. 2014

SPIE Proceedings

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LADAR guidance technology is one of the most promising precision guidance technologies. In the aim of simulating the return waveform of the target, a 3D geometrical model of a target is built and mathematical model of target echo signal for imaging LADAR target simulator is established by using the coordinate transformation, radar equation and ranging equation. First, the 3D geometrical data of the object model is obtained by 3D geometrical modeling. Then, target coordinate system and viewpoint coordinate system are created respectively. 3D geometrical model is built in the target coordinate system. The 3D geometrical model is transformed to the viewpoint coordinate system based on the derived relationship between the two coordinate systems. Furthermore, the range information of the target could be obtained under viewpoint coordinate system. Thus, the data of the target echo signal can be obtained by using radar equation and ranging equation. Finally, the echo signal can be exported through corresponding data interface. In order to validate the method proposed in this paper, the echo signal generated by a typical target is computed and compared with the theory solutions. The signals can be applied to drive target simulator to generate a physical target LADAR image.

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Section: Target Reflectionmentioning

confidence: 99%

Echo signal modeling of imaging LADAR target simulator

Shi

Wang

et al. 2014

SPIE Proceedings

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“…In the laser imaging simulation, the peak detection method is used to estimate the distance information of the target from the scattering echo of the target. For the peak detection method [9] , the timing start and end reference points of the target distance estimation are determined by the corresponding moments of the peak points of the transmitted and received pulse signals respectively. At this time, the distance estimation is:…”

Section: 5echo Detection Algorithm Modelmentioning

confidence: 99%

Simulation design of 3D point cloud for pulse Lidar

Yu¹,

Tang²,

Wang³

et al. 2022

Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022)

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Laser 3D imaging detection has the unique advantage of directly obtaining high-precision and high-resolution stereo data information [1][2][3] . It has broad development prospects in the field of information acquisition. At the same time, its independent and real-time processing algorithm is one of the hot aspects and difficulties in the field of information processing. The simulation of laser 3D imaging detection system is an effective means for the design of laser 3D imaging detection system and the development of information processing algorithm [7] . This paper focuses on the simulation of lidar 3D point cloud, which provides theoretical and technical support for the theoretical research, engineering design and target recognition of laser imaging system.

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“…The data to be analyzed for dominant frequencies were available only at the end of an engineering process [13], which I describe briefly. A moving and also rotating object was illuminated by an infrared laser, and its image was tracked by a special camera.…”

Section: Dominant Frequency In Ladar Datamentioning

confidence: 99%

Dominant Frequency Extraction

Telgarsky

2013

Preprint

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Time series are collected and studied extensively for the knowledge about the data source characteristics such as the trend or the spectral landscape. Some peaks in the spectral landscape correspond to dominant frequencies. The approach here is empirical: all time series are discrete and finite. Contents: Introduction. 1 Examples of periodic phenomena. 2 Algorithms and libraries. 3 Time series analysis. 4 Dominant frequency in ladar data. Conclusion. References.

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High-fidelity ladar simulation

Cited by 6 publications

References 8 publications

Echo signal modeling of imaging LADAR target simulator

Echo signal modeling of imaging LADAR target simulator

Simulation design of 3D point cloud for pulse Lidar

Dominant Frequency Extraction

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