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Digital test signal generation: an accurate snr calibration approach for the dsn (Document No: 19940019439)
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Gutierrez-Luaces, Benito O. |
| Copyright Year | 1993 |
| Description | In support of the on-going automation of the Deep Space Network (DSN) a new method of generating analog test signals with accurate signal-to-noise ratio (SNR) is described. High accuracy is obtained by simultaneous generation of digital noise and signal spectra at the desired bandwidth (base-band or bandpass). The digital synthesis provides a test signal embedded in noise with the statistical properties of a stationary random process. Accuracy is dependent on test integration time and limited only by the system quantization noise (0.02 dB). The monitor and control as well as signal-processing programs reside in a personal computer (PC). Commands are transmitted to properly configure the specially designed high-speed digital hardware. The prototype can generate either two data channels modulated or not on a subcarrier, or one QPSK channel, or a residual carrier with one biphase data channel. The analog spectrum generated is on the DC to 10 MHz frequency range. These spectra may be up-converted to any desired frequency without loss on the characteristics of the SNR provided. Test results are presented. |
| File Size | 512470 |
| Page Count | 6 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19940019439 |
| Archival Resource Key | ark:/13960/t7dr7s05m |
| Language | English |
| Publisher Date | 1993-03-01 |
| Access Restriction | Open |
| Subject Keyword | Communications And Radar Phase Shift Keying Deep Space Network Signal To Noise Ratios Calibrating Prototypes Space Communication Signal Processing Signal Generators Channels Data Transmission Personal Computers Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |