Signal Processing Algorithm of STC Waveforms for Statistical MIMO Radar: Overview on Target Localization
Samiran Pramanik1, Nirmalendu Bikas Sinha2, Chandan Kumar Sarkar3
1Dr. Nirmalendu Bikas Sinha, corresponding author is with the Department of ECE and EIE , College of Engineering & Management, Kolaghat, K.T.P.P Township, Purba- Medinipur, 721171, W.B., India.
2Prof. Samiran Pramanik, author is with the Department of ECE and EIE , College of Engineering & Management, Kolaghat, K.T.P.P Township, Purba- Medinipur, 721171, W.B., India.
3Dr. Chandan Kumar Sarkar, author is with the Department of ETCE, Jadavpur University, Kolkata- 700032, W.B., India.
Manuscript received on February 11, 2013. | Revised Manuscript Received on February 12, 2013. | Manuscript published on February 25, 2013. | PP: 15-19 | Volume-1 Issue-4, February 2013. | Retrieval Number: D0168021413/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Space-time coding (STC) has been shown to play a key role in the design of MIMO radars with widely spaced antennas. Multiple-input–multiple-output (MIMO) radar is an emerging technology that has significant potential for advancing the state-of-the-art of modern radar. This is a multiple antenna radar system capable of transmitting arbitrary waveform from each antenna element. Like MIMO communications, MIMO radar offers a new paradigm for signal processing research. It’s significant potentials for fading mitigation, resolution enhancement, and interference and jamming suppression, which can result in significantly improved target detection, parameter estimation, target tracking and recognition performance. To identify a target in statistical MIMO radar system multiple antennas, not closely placed, for transmission and reception is used. This paper introduces the signal processing algorithm of STC in statistical MIMO radar for improved target detection and recognition performance. We consider the use of space–time coding (STC) to mitigate the waveform cross-correlation effects in MIMO radar. The optimal detector in the Neyman-Pearson sense is developed and analyzed for the statistical MIMO radar for with and without STC waveforms in case of stationary target. The performance improvement achieved by the use of STC waveforms in statistical MIMO radar is investigated. Finally, a number of numerical examples demonstrated for the effectiveness of the proposed approaches. Therefore, statistical MIMO radar can be applied to enhance radar resolution by allowing the measurement of one scatter at a time.
Keywords: MIMO, Statistical, SNR, Probability detection, STC.