Abstract | ||
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In this paper, we discuss the possibility to suppress interference for wideband multiple-input-multiple-output (MIMO) radar, using only the temporal properties of the signals. The idea is to use tunable filters each connected to a wideband waveform generator, and to derive the optimal power spectral density (PSD) of the resulting signals in a known environment. The metric used to evaluate the enhancement in the system performance is the signal-to-noise and interference ratio (SNIR), from which the optimal transmit and receive filter properties are derived. We discuss two optimization approaches: one alternating and one joint algorithm. Each method is separated into two cases: for a total power constraint and for an individual power constraint on the transmit filters, respectively. Numerical validation illustrates the possibility to suppress the interference in the temporal domain, without actually forming a spatial null in the direction of the interference. |
Year | DOI | Venue |
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2011 | 10.1109/CAMSAP.2011.6136056 | Computational Advances in Multi-Sensor Adaptive Processing |
Keywords | Field | DocType |
MIMO radar,filtering theory,optimisation,PSD,SNIR,interference ratio,optimal power spectral density,optimization,power constraint,receive filter optimization,signal-to-noise,temporal domain,wideband MIMO radar,wideband multiple-input-multiple-output radar | Radar,Wideband,Computer science,Control theory,Signal generator,MIMO,Electronic engineering,Spectral density,Interference (wave propagation),Mimo radar,Filtering theory | Conference |
ISBN | Citations | PageRank |
978-1-4577-2104-5 | 1 | 0.37 |
References | Authors | |
5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Marie Strom | 1 | 5 | 2.84 |
M. Viberg | 2 | 917 | 188.13 |
Kent Falk | 3 | 1 | 0.37 |