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Eye-safe LADAR Test-bed hardware during integration.

Eye-safe LADAR Test-bed hardware during integration.

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Fig. 1. Bridging the gap between sensor developers and sensor users.
Fig. 2. Vehicle Integrated Sensor Suite for Targeting Applications...
Fig. 3. Eye-safe LADAR Test-bed hardware during integration.
Fig. 4. Eye-safe LADAR Test-bed design schematic.
+6 Fig. 5. Trailer-mounted target panel used in ELT range resolution tests. 
Eyesafe ladar testbed with coaxial color imager
Article
Full-text available
  • May 2009
A new experimental full-waveform LADAR system has been developed that fuses a pixel-aligned color imager within the same optical path. The Eye-safe LADAR Test-bed (ELT) consists of a single beam energy-detection LADAR that raster scans within the same field of view as an aperture-sharing color camera. The LADAR includes a pulsed 1.54 mum Erbium-dop...
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Context in source publication

Context 1
... photograph of the ELT is shown as Figure 3 and a schematic of its design is shown as Figure 4. The ELT consists of a laser transmitter and beam expander that first reflects off of a mirror that is coaxially aligned at the obscuration point of the receive telescope. ...

Citations

... The Vehicle Integrated Sensor Suite for Targeting Applications (VISSTA) van was developed to provide a mobile sensor platform for multiple modes of data collection. 11 As shown in Fig. 1, the ELT, mounted in the VISSTA van, has a single sensor flying spot laser scanner that sits inside a movable turret on top of the van. A color camera is mounted coaxially with the eyesafe laser to allow the operator to observe the field of view of the ELT scanner. ...
Range resolution improvement of eyesafe ladar testbed (ELT) measurements using sparse signal deconvolution
Conference Paper
Full-text available
  • Jun 2014
  • Proceedings of SPIE
The Eyesafe Ladar Test-bed (ELT) is an experimental ladar system with the capability of digitizing return laser pulse waveforms at 2 GHz. These waveforms can then be exploited off-line in the laboratory to develop signal processing techniques for noise reduction, range resolution improvement, and range discrimination between two surfaces of similar range interrogated by a single laser pulse. This paper presents the results of experiments with new deconvolution algorithms with the hoped-for gains of improving the range discrimination of the ladar system. The sparsity of ladar returns is exploited to solve the deconvolution problem in two steps. The first step is to estimate a point target response using a database of measured calibration data. This basic target response is used to construct a dictionary of target responses with different delays/ranges. Using this dictionary ladar returns from a wide variety of surface configurations can be synthesized by taking linear combinations. A sparse linear combination matches the physical reality that ladar returns consist of the overlapping of only a few pulses. The dictionary construction process is a pre-processing step that is performed only once. The deconvolution step is performed by minimizing the error between the measured ladar return and the dictionary model while constraining the coefficient vector to be sparse. Other constraints such as the non-negativity of the coefficients are also applied. The results of the proposed technique are presented in the paper and are shown to compare favorably with previously investigated deconvolution techniques.
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