Influence of Range Gate Width on Detection Probability and Ranging Accuracy of Single Photon Laser Altimetry Satellite

The influence of the single photon laser altimeter range-gate width on the detection probability and ranging accuracy is discussed and analyzed,according to the LiDAR equation,single photon detection equation and the Monte Carlo method to simulate the experiment.The simulated results show that the probability of detection is not affected by the range gate,while the probability of false alarm is relative to the gate width.When the gate width is 100 ns,the ranging accuracy can accord with the requirements of satellite laser altimeter.But when the range gate width exceeds 400 ns,ranging accuracy will decline sharply.The noise ratio will be more as long as the range gate to get larger,so the refined filtering algorithm during the data processing is important to extract the useful photons effectively.In order to ensure repeated observation of the same point for 25 times,we deduce the quantitative relation between the footprint size,footprint,and frequency repetition according to the parameters of ICESat-2.The related conclusions can provide some references for the design and the development of the domestic single photon laser altimetry satellite.

Cloud Detection and Centroid Extraction of Laser Footprint Image of GF-7 Satellite Laser Altimetry

The laser altimeter loaded on the GaoFen-7(GF-7)satellite is designed to record the full waveform data and footprint image,which can obtain high-precision elevation control points for stereo image.The footprint camera equipped on the GF-7 laser altimetry system can capture the energy distribution at the time of laser emission and the image of the ground object where the laser falls,which can be used to judge whether the laser is affected by the cloud.At the same time,the centroid of laser spot on the footprint image can be extracted to monitor the change of laser pointing stability.In this manuscript,a data quality analysis scheme of laser altimetry based on footprint image is presented.Firstly,the cloud detection of footprint image is realized based on deep learning.The fusion result of the model is about 5%better than that of the traditional cloud detection algorithm,which can quickly and accurately determine whether the laser spot is affected by cloud.Secondly,according to the characteristics of footprint image,a threshold constrained ellipse fitting method for extracting the centroid of laser spot is proposed to monitor the pointing stability of long-period lasers.Based on the above method,the change of laser spot centroid since GF-7 satellite was put into operation is analyzed,and the conclusions obtained have certain reference significance for the quality control of satellite laser altimetry data and the analysis of pointing angle stability.

Additively manufactured biodegradable porous magnesium implants for elimination of implant-related infections:An in vitro and in vivo study

Magnesium(Mg)alloys that have both antibacterial and osteogenic properties are suitable candidates for orthopedic implants.However,the fabrication of ideal Mg implants suitable for bone repair remains challenging because it requires implants with interconnected pore structures and personalized geometric shapes.In this study,we fabricated a porous 3D-printed Mg-Nd-Zn-Zr(denoted as JDBM)implant with suitable mechanical properties using selective laser melting technology.The 3D-printed JDBM implant exhibited cytocompatibility in MC3T3-E1 and RAW267.4 cells and excellent osteoinductivity in vitro.Furthermore,the implant demonstrated excellent antibacterial ratios of 90.0% and 92.1% for methicillin-resistant S.aureus(MRSA)and Escherichia coli,respectively.The 3D-printed JDBM implant prevented MRSA-induced implant-related infection in a rabbit model and showed good in vivo biocompatibility based on the results of histological evaluation,blood tests,and Mg2+deposition detection.In addition,enhanced inflammatory response and TNF-α secretion were observed at the bone-implant interface of the 3D-printed JDBM implants during the early implantation stage.The high Mg^(2+)environment produced by the degradation of 3D-printed JDBM implants could promote M1 phenotype of macrophages(Tnf,iNOS,Ccl3,Ccl4,Ccl5,Cxcl10,and Cxcl2),and enhance the phagocytic ability of macrophages.The enhanced immunoregulatory effect generated by relatively fast Mg^(2+)release and implant degradation during the early implantation stage is a potential antibacterial mechanism of Mg-based implant.Our findings indicate that 3D-printed porous JDBM implants,having both antibacterial property and osteoinductivity,hold potential for future orthopedic applications.

Analysis and Design of Asymmetric Oscillation for Caterpillar-Like Locomotion

Caterpillar crawling is distinct from that of other limbless animals. It is simple but efficient. This paper presents a novel mechanism to duplicate the movement to a modular caterpillar-like robot. First, how caterpillars move in nature is investigated and analyzed systematically. Two key locomotive properties are abstracted from the body shape of caterpillars during crawling. Then, based on a morphological mapping, a hypothesis of asymmetric oscillation with a ratio of two is proposed, followed by a thorough analysis of the kinematics of the caterpillar-like robot. The asymmetric oscillating mechanism is proved capable of generating stable caterpillar-like locomotion. Next, taking advantage of the two locomotive properties and the hypothesis, a new Central Pattern Generator （CPG） model is designed as the controller of the robot. The model can not only generate the signal as expected, but also provide explicit control parameters for online modulation. Finally, simulation and on-site experiments are carried out. The results confirm that the proposed method is effective for caterpillar-like locomotion.

An Approach for Adaptive Limbless Locomotion Using a CPG-Based Reflex Mechanism

Animals＇ free movement in natural environments has attracted many researchers to explore control methods for bio-inspired robots. This paper presents a novel reflex mechanism based on a Central Pattern Generator （CPG） for adaptive locomotion of limbless robots. First, inspired by the concept of reflex arc, the reflex mechanism is designed on a connectionist CPG model. Since the CPG model inspired by the spinal cord of lampreys is developed at the neuron level, it provides a possible natural solution for sensory reflex integration. Therefore, sensory neurons that bridge the external stimuli and the CPG model, together with the concept of reflex arc, are utilized for designing the sensory reflex mechanism. Then, a border reflex and a body reflex are further developed and applied on the ends and the middle part of a limbless robot, respectively. Finally, a ball hitting scenario and a corridor passing scenario are designed to verify the proposed method. Results of simulations and on-site experiments show the feasibility and effectiveness of the reflex mechanism in realizing fast response and adaptive limbless locomotion.

Bionic Flapping Pectoral Fin with Controllable Spatial Deformation

This paper presents the design of a bionic pectoral fin with fin rays driven by multi-joint mechanism.Inspired by the cownose ray,the bionic pectoral fin is modeled and simplified based on the key structure and movement parameters of the cownose ray's pectoral fin.A novel bionic propulsion fin ray composed of a synchronous belt mechanism and a slider-rocker mechanism is designed and optimized in order to minimize the movement errors between the designed fin rays and the spanwise curves observed from the cownose ray,and thereby reproducing an actively controllable flapping deformation.A bionic flapping pectoral fin prototype is developed accordingly.Observations verify that the bionic pectoral fin flaps consistently with the design rule extracted from the cownose ray.Experiments in a towing tank are set up to test its capability of generating the lift force and the propulsion force.The movement parameters within the usual propulsion capabilities of the bionic pectoral fm are utilized:The flapping frequency of 0.2 Hz-0.6 Hz,the flapping amplitude of 3°-18°,and the phase di^rence of 10°-60°.The results show that the bionic pectoral fin with actively controllable spatial deformation has expected propulsion performance,which supports that the natural features of the cownose ray play an important role in designing and developing a bionic prototype.