The article presents methods of long range distance measurements using pulsed lasers and the Time of Flight principle. Various algorithms of laser distance measurements with digital acquisition of echo pulses (acquisition of a signal's full waveform) are presented. The main focus of work is concentrated on the method of distance measurements developed by the authors. With this method, during laboratory trials, a total measurement error of one centimeter was achieved using a 905 nm pulsed laser diode and pulse width of 39 ns. The maximum range of measurements with such high precision is limited only by a signal to noise ratio, duration of measurements and atmospheric conditions. All algorithms were implemented in a laser rangefinder module developed by the authors. Simulations and laboratory experiments were conducted and algorithm's accuracy and precision were tested for various SNR conditions and changing distances.
The article presents methods of long range distance measurements using pulsed lasers and the Time of Flight principle. Various algorithms of laser distance measurements with digital acquisition of echo pulses (acquisition of a signal’s full waveform) are presented. The main focus of work is concentrated on the method of distance measurements developed by the authors. With this method, during laboratory trials, a total measurement error of one centimeter was achieved using a 905 nm pulsed laser diode and pulse width of 39 ns. The maximum range of measurements with such high precision is limited only by a signal to noise ratio, duration of measurements and atmospheric conditions.
As a result of those requirements, we have decided to develop a measuring device that uses pulsed laser as a radiation source and performs acquisition of the full waveform of returning echo signals. Because laser measurements of vehicle speed are based on measurements of its displacement in a given time, the simplest way to do them is to measure distance to the target twice (or usually many more times) in a set time interval. Precision and accuracy of such measurement of speed strongly depend on the precision and accuracy of measurements of each distance.
All three parameters depend on the chosen measurement method, among which exist methods based on measurements of the phase shift between transmitted and received FMCW signals (Indirect ToF) [ 3 , 4 ] and, whenever longer ranges are needed, methods based on measurements of the probing light pulse roundtrip Time of Flight to the target (Direct ToF) [ 5 , 6 , 7 ]. In the presented work, the pulsed Time of Flight method was chosen to allow long range measurements. In order to be able to safely use the designed device on public roads, we had to comply with eye safety regulations defined in adequate standards [ 8 ].
This introduces extra noise in the signal and - without additional countermeasures - affects precision of a rangefinder with full waveform acquisition of signals (also called “full waveform LiDAR”). In the presented work we were using an ADC converter that was chosen optimally in terms of its cost, design simplicity and its sampling rate and was suitable for use in handheld laser speed guns. Because of the discretization error introduced by the chosen ADC, which was greater than the allowable total measurement error, we had to recreate signal’s continuity in both domain and codomain to precisely measure ToF.
Methods of Generation of the START and STOP Signals for Digital Counters in Laser ToF Measurements As mentioned earlier, correct measurement of distance, by means of measuring the Time of Flight of light pulses, require precise generation of START and STOP signals that are used to control timers. The timing point (moment) when generation of START and STOP signals should occur is a result of observation of different characteristic points on the waveform of received signals [ 6 ].
Heaving the value of a peak sample of the signal opens the possibility to implement Adaptive Threshold method by simply setting the detection threshold to its chosen fraction. Obtaining precise time measurements with described methods requires either high-frequency sampling or generation of very short probing pulses, which in both cases increases the complexity of
It should be noted that actual light pulses generated and processed in laser rangefinders are most often characterized by a lack of symmetry between the rise and fall times of signal’s slopes and the rising slope is usually steeper than the falling one. Still, symmetrical approximation simplifies the analysis and is used in the simulations presented in this article. The presented methods of distance measurements have been implemented and simulated in the MATLAB environment. In order to conduct comparative tests, a waveform imitating the echo signal of a laser pulse was generated.
Experiments have shown that for signals with high SNR, it is possible to measure the distance with total uncertainty of 1 cm with relatively wide laser pulses (FWHM = 39 ns). All that is thanks to the method of processing of the recorded signals developed by the authors (SDPA-M). The less computation time consuming method SDPA-S also provides superior accuracy over standard detection methods, and is suitable for applications in accurate laser rangefinders and speed guns. The price for high accuracy and precision of presented approximation algorithms is computation time.
The expected increase in measurement accuracy for higher SNR was not confirmed in the tests. The probable reason for this was the asymmetry (the rising edge is faster than the falling one) of the real received signal pulse that for certain noise levels causes falling edge samples to be more vulnerable to fluctuations when threshold selection of the signal samples is performed. 6. Conclusions The article presents methods of distance measurements using laser rangefinders with digital acquisition of echo signals and the pulsed Time of Flight principle.
Discharges of warfare bio aerosol clouds are powerful weapons in war and terror situations. A discharge of a small amount of a contagious substance can obliterate large areas. The discharges can usually not be seen with bare eyes, hence some tool needs to be used to find bio aerosol cloud discharges. One way is to use a lidar for the detection of clouds. By sending out a laser pulse into the atmosphere some of the light is scattered back. By measuring the backscattered light, the aerosol structure of the atmosphere can be obtained. If a cloud is hit by the laser beam, an increase of light is o
Laser ranging based on a single-photon avalanche diode (SPAD), offering single-photon level high sensitivity, has been widely adopted in light detection and ranging (lidar) systems for long-distance ranging and imaging applications. Count detection through multiple pulses is commonly used when considering the existence of dark counting and strong background counting during the daytime, which improves the signal-to-noise ratio but at the expense of low detection speed. Here, we report a novel coded-pulse-bunch-laser-based single-photon lidar system, which aims to improve the ranging speed greatly and to expand the unambiguous distance to several kilometers. The schematic principle and construction of the lidar system, as well as the encoding method, are introduced. The time-of-flight (TOF) ranging information is extracted through real-time correlation between the transmitted pulse-bunch patterns and the received echo signals in a field-programmable gate array (FPGA). A daytime ranging experiment is demonstrated on a non-cooperative mountain target that is 5.4 km away. The method will be of great potential in fast three-dimension (3D) single-photon lidar imaging application for its relatively high data refreshing rate and large unambiguous distance.
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can fly 3 to 5 kilometres (2 to 3 mi) before returning to the hive. However, tests using lidar (a laser scanning technique) have been promising. Bees
Demining or mine clearance is the process of removing land mines from an area. In military operations, the object is to rapidly clear a path through a minefield, and this is often done with devices such as mine plows and blast waves. By contrast, the goal of humanitarian demining is to remove all of the landmines to a given depth and make the land safe for human use. Specially trained dogs are als
Metal detectors used by deminers work on the same principles as detectors used in World War I and refined during World War II. A practical design by Polish officer Józef Kosacki, known as the Polish mine detector, was used to clear German mine fields during the Second Battle of El Alamein.
Although metal detectors have become much lighter, more sensitive and easier to operate than the early models, the basic principle is still electromagnetic induction. Current through a wire coil produces a…
Honey bees can be used to locate mines in two ways: passive sampling and active detection. In passive sampling, their mop-like hairs, which are electrostatically charged, collect a variety of particles including chemicals leaking from explosives. The chemicals are also present in water that they bring back and air that they breathe. Methods such as solid phase microextraction, sorbent sol-gels, gas chromatography and mass spectrometry can be used to identify explosive chemicals in the hive.
Honey bees can also be trained, in 1–2 days, to associate the smell of an explosive with food. In field trials, they detected concentrations of parts per trillion with a detection probability of 97–99 percent and false positives of less than 1 percent. When targets were placed consisting of small amounts of 2.4-DNT mixed with sand, they detect vapor plumes from the source several meters away and follow them to the source. Bees make thousands of foraging flights per day, and over time high concentrations of bees occur over targets. The most challenging issue is tracking them when a bee can fly 3 to 5 kilometres (2 to 3 mi) before returning to the hive. However, tests using lidar (a laser scanning technique) have been promising.
Bees do not fly at night, in heavy rain or wind, or in temperatures below 4 °C (39 °F), but the performance of dogs is also limited under these conditions. So far, most tests have been conducted in dry conditions in open terrain, so the effect of vegetation is not known. Tests have commenced in real minefields in Croatia and the results are promising, although after about three days the bees must be retrained because they are not getting food rewards from the mines.
Identifying unmanned aerial vehicles (UAVs) is critical to protecting vital locations and infrastructures from potential attacks. The literature suggests a variety of detection methods, including conventional radar systems, acoustic detection, radio frequency signal detection, LiDAR, and camera-based techniques. LiDAR systems, in particular, offer high-resolution 3D mapping and precise distance measurements, which prove to be highly effective for detecting and tracking UAVs under various environmental conditions. This study presents two innovative LiDAR systems for UAV detection: a multi-array
Furthermore, these systems must be designed to operate efficiently in real-world environments, where challenges such as varying target sizes, speeds, altitudes, and environmental conditions (e.g., weather, lighting) must be taken into account. In this work, we extend our work proposed in [ 16 , 17 ]. Thus, we propose a laser-based radar system, which is constructed of laser-emitting transmitters and laser optical concentrators connected to a photodiode. The main purpose of the proposed system is to detect, at least in the shortest possible time, a flying object that may potentially be an UAV.
The integration of 360° LiDAR systems for counter-UAV missions, as explored by Paschalidis et al . [ 23 ], further underscores the adaptability of laser-based technologies in real-time aerial surveillance. One of the primary factors influencing LiDAR-based UAV detection is the performance of laser radar systems in terms of range accuracy and echo characterization. Xu et al . [ 24 ] examined the role of beam coherence and environmental factors in determining laser measurement precision, while Dogru and Marques [ 25 ] highlighted the efficiency of sparse LiDAR data in reducing computational overhead without sacrificing detection accuracy.
Furthermore, MEMS-based LiDAR systems, such as the synchronized dual-laser beam system proposed by Huang et al . [ 56 ], have significantly extended detection range and angular coverage. Advancements in laser diode array driver circuits, such as those presented by Li et al . [ 57 ], further contribute to improving LiDAR efficiency and real-time tracking capabilities. Recent advances in SAR signal processing have demonstrated innovative approaches to managing signal interference and distortion. For example, Chang et al .
[ 27 ] Development of innovative photodetectors for LiDAR systems. Improved detection sensitivity and environmental adaptability. Photodetectors tailored for specific UAV detection challenges. Pritzl et al . [ 55 ] Cooperative navigation using 3D LiDAR for micro-scale aerial vehicles. Collaboration in UAV management and detection. Enabling multi-UAV systems and cooperative tracking. Huang et al . [ 56 ] MEMS-based LiDAR system with synchronized dual laser beams. Improved detection range and accuracy. Enhanced LiDAR systems for long-range and high-precision applications. Li et al . [ 56 ] Nanosecond pulse laser diode array driver circuit for LiDAR systems.
Unlike previous studies that examined these configurations separately, our work quantifies their relative performance differences in terms of detection efficiency, power reception, and response time. By optimizing sensor placement, rotation speed, and inter-array spacing, our study provides practical deployment strategies for LiDAR-based UAV detection. Furthermore, by comparing instantaneous detection (static LiDAR) vs. sequential scanning (rotating LiDAR), we establish clear guidelines for selecting the best system configuration based on surveillance area, detection latency, and operational constraints.
The rotational mechanism improves coverage and detection efficiency without requiring additional arrays. However, the system may face challenges in terms of detection delay, as the rotation could introduce time gaps before revisiting specific regions in the surveillance zone. The Multi-Array Static Lidar Alternative: In this configuration, the lidar system is fixed and does not rely on any rotational movement. Instead, multiple arrays of laser transmitters and receivers are implemented to ensure comprehensive coverage of the surveillance area.
The target is modeled as an extended plane surface (i.e., a surface larger than the laser beam cross-section) [ 24 ]. Let P t be the average transmitted power during a specific time interval. Fig 4 Transmit-receive system. 3.3.1 Reflected optical power and beam propagation. A transmitting laser source i is located at a distance R t from the reflective surface. Assuming the laser pulse is Gaussian in space and time, the transmitted power at time t over the pulse duration is expressed in Eq 1 : (1) P t ( t ) = P 0 exp ( − t 2 τ 2 ) , where τ is the pulse width.
The beam divergence angle describes the angular spread of a laser beam as it travels away from its source. A smaller divergence angle results in a more focused beam, whereas a larger angle results in a wider coverage area but lower intensity, which might affect the range and accuracy of detection. Detection efficiency vs. beam divergence. Fig 15 compares the detection efficiency and beam divergence for static and rotating LiDAR systems. As power spreads across a larger area, detection effectiveness drops with increasing beam divergence, as expected.
The rotation of the LiDAR scanning device requires more time to adjust its alignment, particularly as the divergence increases. This increases the time required for the system to scan and detect things in the larger field of vision. In contrast, the static LiDAR system, with its fixed beam, has a less substantial influence on the detection time as the divergence of the beam increases. Although divergence affects detection efficiency, the lack of mechanical movement in the static system means that the divergence angle has a greater influence on detection time than additional motion delays.
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