350 rub
Journal Information-measuring and Control Systems №3 for 2014 г.
Article in number:
The interpolation methods usage in data arrays generating for the digital radar impulse processing device testing
Keywords:
interpolation
digital signal processing
radar-tracking station
spectrum
spectrography
resolution power
interference suppression
test data
Authors:
S. N. Vays - Scientist, JSC «Concern «Vega»
A. A. Lipatov - Scientist, JSC «Concern «Vega»
M. V. Repina - Scientist, JSC «Concern «Vega»
A. A. Lipatov - Scientist, JSC «Concern «Vega»
M. V. Repina - Scientist, JSC «Concern «Vega»
Abstract:
This paper is devoted to the possibility of the interpolation procedures usage in generating data arrays on the basis of real signals records of airborne early-warning and control station.
Test radar impulse developing questions have very high priority, as they are needed when hardware is calibrated, tried out and approval and preliminary tests of the digital radar impulse processing device of perspective S-band radar. The fact that blocks of test data were generated out of real radar signals allows essentially expand range of use. A number of important parameters of developing radar such as distance and range rate resolution, lowest radial velocity of acquired targets, helicopters and multiple target detection, side-lobe noise suppression and others can be estimated within ground-based measurements verifications without flight testing.
Interpolation of original signal sample for getting the test block data determined by difference data format signal snap in ongoing and developing radar because of clock frequency increasing at digital receiver output and number of dimension fast Fourier transform (FFT) under spectrographic analysis.
For interpolation on distance linear, Fourier and spline procedures were used. The last method has the best correct. For interpolation on frequency technique of synthetic augmenter by zeroes to selected FFT number of dimension was used.
Noise interpolation special features take place because of interpolation signal sample final finite accuracy. It ensues from the results of conducted research, that interpolation errors are multiplicative and correlated. Energy of interpolation errors is concentrated in narrow band with correlate passive noise spectrum, that is regarded non-working and rejected at spectrum processing. Thus, influence of interpolation errors for target detecting can be neglected.
Visual comparative analysis of output two-dimensional FFT matrix was verified and shew that using interpolated input signal arrays comes up to increasing distance and frequency resolution. From here can be draw conclusions about ongoing radar upgrading possibility by way of increasing resolution capability by adding to signal processing algorithm procedure of input data interpolation and updating block of digital processing.
Pages: 49-52
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