Title :
Widely separated MIMO radar with adaptive waveform for target classification
Author :
Bae, Junhyeong ; Goodman, Nathan A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Arizona, Tucson, AZ, USA
Abstract :
In prior work, we have shown the advantage of adaptive waveforms for monostatic radar target recognition performance. In this paper, we extend our approach to the widely separated multi-input multi-output (MIMO) radar scenario. MIMO radar exploits a diversity of radar waveforms and target scattering to improve radar performance. We present an iterative information-based waveform design method that results in waveforms having narrow, disjoint bands so as not to interfere with each other. Applying a constant modulus constraint causes spectral spreading, but we study the impact of this spreading and find that the performance loss is minimal.
Keywords :
MIMO radar; electromagnetic wave scattering; radar detection; adaptive waveform; iterative information-based waveform design method; monostatic radar target recognition performance; multi-input multi-output radar; radar performance; radar waveforms diversity; target classification; target scattering; widely separated MIMO radar; Interference; MIMO radar; Radar antennas; Radar cross section; Radar tracking; Target recognition;
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011 4th IEEE International Workshop on
Conference_Location :
San Juan
Print_ISBN :
978-1-4577-2104-5
DOI :
10.1109/CAMSAP.2011.6135987