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Ambiguity Function

The Experts below are selected from a list of 282 Experts worldwide ranked by ideXlab platform

P.p. Vaidyanathan – 1st expert on this subject based on the ideXlab platform

  • ICASSP – Properties of the MIMO radar Ambiguity Function
    2008 IEEE International Conference on Acoustics Speech and Signal Processing, 2008
    Co-Authors: Chun-yang Chen, P.p. Vaidyanathan

    Abstract:

    MIMO (multiple-input multiple-output) radar is an emerging technology which has drawn considerable attention. Unlike the traditional SIMO (single-input multiple-output) radar, which transmits scaled versions of a single waveform in the antenna elements, the MIMO radar transmits independent waveforms in each of the antenna elements. It has been shown that MIMO radar systems have many advantages such as high spatial resolution, improved parameter identifiability, and enhanced flexibility for transmit beampattern design. In the traditional SIMO radar, the range and Doppler resolutions can be characterized by the radar Ambiguity Function. It is a major tool for studying and analyzing radar signals. Recently, the Ambiguity Function has been extended to the MIMO radar case. In this paper, some mathematical properties of the MIMO radar Ambiguity Function are derived. These properties provide insights into the MIMO radar waveform design.

  • Properties of the MIMO radar Ambiguity Function
    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing – Proceedings, 2008
    Co-Authors: Chun-yang Chen, P.p. Vaidyanathan

    Abstract:

    MIMO (multiple-input multiple-output) radar is an emerging technology which has drawn considerable attention. Unlike the traditional SIMO (single-input multiple-output) radar, which transmits scaled versions of a single waveform in the antenna elements, the MIMO radar transmits independent waveforms in each of the antenna elements. It has been shown that MIMO radar systems have many advantages such as high spatial resolution, improved parameter identifiability, and enhanced flexibility for transmit beampattern design. In the traditional SIMO radar, the range and Doppler resolutions can be characterized by the radar Ambiguity Function. It is a major tool for studying and analyzing radar signals. Recently, the Ambiguity Function has been extended to the MIMO radar case. In this paper, some mathematical properties of the MIMO radar Ambiguity Function are derived. These properties provide insights into the MIMO radar waveform design.

Kiran Sultan – 2nd expert on this subject based on the ideXlab platform

  • Ambiguity Function of phased mimo radar with colocated antennas and its properties
    IEEE Geoscience and Remote Sensing Letters, 2014
    Co-Authors: Waseem Khan, Ijaz Mansoor Qureshi, Kiran Sultan

    Abstract:

    In recent years, multiple-input-multiple-output (MIMO) radar has been receiving increasing attention from researchers due to its numerous benefits. In contrast to conventional radar systems, it offers increased spatial resolution and improved parameter estimation, target tracking, and recognition performance. Recently, a combination of phased-array radar and MIMO radar, which is called Phased-MIMO radar, has also been proposed and studied. The Ambiguity Function has been a traditional and effective tool to investigate the range and Doppler resolution of conventional radar systems and is now being extended for MIMO radar systems. In this letter, the Ambiguity Function of the Phased-MIMO radar with overlapping subarrays has been formulated, and some mathematical properties of the Ambiguity Function have been derived. These properties can help when comparing the performance of conventional and MIMO radar systems. This letter can be considered an extension of the work done by Chen and Vaidyanathan for MIMO radar systems.

Chun-yang Chen – 3rd expert on this subject based on the ideXlab platform

  • ICASSP – Properties of the MIMO radar Ambiguity Function
    2008 IEEE International Conference on Acoustics Speech and Signal Processing, 2008
    Co-Authors: Chun-yang Chen, P.p. Vaidyanathan

    Abstract:

    MIMO (multiple-input multiple-output) radar is an emerging technology which has drawn considerable attention. Unlike the traditional SIMO (single-input multiple-output) radar, which transmits scaled versions of a single waveform in the antenna elements, the MIMO radar transmits independent waveforms in each of the antenna elements. It has been shown that MIMO radar systems have many advantages such as high spatial resolution, improved parameter identifiability, and enhanced flexibility for transmit beampattern design. In the traditional SIMO radar, the range and Doppler resolutions can be characterized by the radar Ambiguity Function. It is a major tool for studying and analyzing radar signals. Recently, the Ambiguity Function has been extended to the MIMO radar case. In this paper, some mathematical properties of the MIMO radar Ambiguity Function are derived. These properties provide insights into the MIMO radar waveform design.

  • Properties of the MIMO radar Ambiguity Function
    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing – Proceedings, 2008
    Co-Authors: Chun-yang Chen, P.p. Vaidyanathan

    Abstract:

    MIMO (multiple-input multiple-output) radar is an emerging technology which has drawn considerable attention. Unlike the traditional SIMO (single-input multiple-output) radar, which transmits scaled versions of a single waveform in the antenna elements, the MIMO radar transmits independent waveforms in each of the antenna elements. It has been shown that MIMO radar systems have many advantages such as high spatial resolution, improved parameter identifiability, and enhanced flexibility for transmit beampattern design. In the traditional SIMO radar, the range and Doppler resolutions can be characterized by the radar Ambiguity Function. It is a major tool for studying and analyzing radar signals. Recently, the Ambiguity Function has been extended to the MIMO radar case. In this paper, some mathematical properties of the MIMO radar Ambiguity Function are derived. These properties provide insights into the MIMO radar waveform design.