HIGH PERFORMANCE SATELLITE RANGING TECHNIQUE UTILIZING A FLEXIBLE RANGING SIGNAL WAVEFORM
KeywordsRanging signal bandwidth occupancy
Ranging signal acquisition time
Ranging accuracy and precision
Mutual interference with other uplink/downlink signals
Digital Signal Processing
MetadataShow full item record
RightsCopyright © International Foundation for Telemetering
Collection InformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.
AbstractRange to an orbiting satellite from a ground reference point (ground station) can be determined by measuring the round trip time for a waveform transmitted to the satellite and returned to the ground station (Turnaround Ranging) and more recently by using the Global Positioning System (GPS). This paper first summarizes and compares the two approaches. The paper then describes and analyzes a new turn-around ranging system which uses a flexible ranging waveform that provides spectral compatibility with existing Military, NASA, and Commercial satellite uplink/downlink signals.
SponsorsInternational Foundation for Telemetering
Showing items related by title, author, creator and subject.
DSP BASED SIGNAL PROCESSING UNIT FOR REAL TIME PROCESSING OF VIBRATION AND ACOUSTIC SIGNALS OF SATELLITE LAUNCH VEHICLEST.N., Santhosh Kumar; A.K., Abdul Samad; K.M., Sarojini; Indian Space Research Organisation (International Foundation for Telemetering, 1995-11)Measurement of vibration and acoustic signals at various locations in the launch vehicle is important to establish the vibration and acoustic environment encountered by the launch vehicle during flight. The vibration and acoustic signals are wideband and require very large telemetry bandwidth if directly transmitted to ground. The DSP based Signal Processing Unit is designed to measure and analyse acoustic and vibration signals onboard the launch vehicle and transmit the computed spectrum to ground through centralised baseband telemetry system. The analysis techniques employed are power spectral density (PSD) computations using Fast Fourier Transform (FFT) and 1/3rd octave analysis using digital Infinite Impulse Response (IIR) filters. The programmability of all analysis parameters is achieved using EEPROM. This paper discusses the details of measurement and analysis techniques, design philosophy, tools used and implementation schemes. The paper also presents the performance results of flight models.
Performance Analysis of Noncoherent AGC for Signal Presence Detection and Autotrack Signal ExtractionCarpenter, Daniel D.; TRW Defense and Space Systems (International Foundation for Telemetering, 1979-11)The acquisition of a communication satellite data signal starts with a spatial search for the incoming direction of arrival. As the antenna scans the received signal level builds up as this direction is approached. This level builds up according to the antenna gain pattern. Once detected, this level can be used to determine when the pull-in range is reached. This allows the automatic tracking, or the autotrack system to take over and maintain the pointing control. An AGC control voltage can provide an indication of signal level, gain, and thus the pointing error. A non-coherent AGC can be used to provide both a signal presence indication and tracking error signal, if a single channel autotrack signal with AM or AM-PM modulation is used. This includes five horn and dual mode feed systems.
A NOVLE COMBINING ACQUISITION ALGORITHM WITH DATA AND PILOT SIGNALS OF BDS-3 B1C SIGNALTaotao, Liang; Ming, Wang; Junwei, Wu; Chuan, Wang; Institute of Electronic Engineering, China Academy of Engineering Physics (International Foundation for Telemetering, 2019-10)The B1C signal adopts a new navigation signal system including pilot and data signal. These two signals are transmitted simultaneously in an orthogonal manner. When the signal is weak, two signals need to be processed jointly to improve the signal detection ability. This paper designs a novel weighted joint acquisition algorithm. Monte Carlo simulation has been done to evaluate the performance. The simulation results show that the detection performance of the proposed algorithm connects with the weighted coefficient. When the optimal weighting coefficient is selected, detection performance can be improved greatly under the condition of weak signal. Keywords: B1C signal, weighted joint acquisition algorithm, weighted coefficient.