Light Detection and Ranging (LiDAR) is a kind of new technical fast developing from 1960s especially in last 30
years. This technical processes high measurement accuracy, high resolution, powerful recognition capability and
anti-interference capability. Space-Borne LiDAR which had wide field of view caused the big astronautic countries more
attention, and it became an important part of global 3-D terrain detection, aerosphere detection, wind velocity detection,
imagination and rendezvous and docking. In this paper, water depth measurement technology with airborne LiDAR was
summarized. Neritic seabed terrain detection schematic was put forward, and then the key components and the different
points of the schematic were analyzed. Pertinence suggestions were described in this paper which could supply further
research on space-borne LiDAR.The space-borne laser emits several beams which form laser array, and detects the
ground target by one dimension scanning. The laser includes multiple-beam emission system and multiple-signal
reception system, but no flexible components in order to increasing the system dependability. The multiple-beam mode
can make an observably increase of detection efficiency comparing with the single-beam mode. Each single laser pulse
can return several different distance signals, so the repeat frequency can be lower. The laser pulse can be reflected by the
sea surface and neritic seabed, so the depth can be calculated by the two reflection signals. The space-borne LiDAR data
can be used to analyze sea gravitational field, change of the sea level and tide, sea weather and thickness of ice band.
In this paper, taking GPS and Galileo signals for examples, we analyzed the compatibility of these two GNSS systems'
signals. Spectral separation coefficient (SSC) is an important compatibility factor. Utilizing the simulation tools, we
build a generation model of GPS/Galileo signals, and analyze the performance of the signal. Meanwhile, we calculate the
SSC and quantization the effect of different transmitted power. Some simulation results are shown in the form of
graphics and tables. What we are interested in are the signals from different systems at the same center frequency. Thus,
we just take L1 (E1) into account. After that, we can easily use the model to complete other signals' simulations.
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