Ambiguity Function

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P.p. Vaidyanathan - One of the best experts 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 - One of the best experts 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 - One of the best experts 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.

Arye Nehorai - One of the best experts on this subject based on the ideXlab platform.

  • adaptive design of ofdm radar signal with improved wideband Ambiguity Function
    IEEE Transactions on Signal Processing, 2010
    Co-Authors: Arye Nehorai
    Abstract:

    We propose an adaptive technique to design the spectrum of an orthogonal frequency division multiplexing (OFDM) waveform to improve the radar's wideband Ambiguity Function (WAF). The adaptive OFDM signal yields a better auto-correlation Function (ACF) that results into an improved delay (range) resolution for the radar system. First, we develop a mutlicarrier OFDM signal model and the corresponding WAF at the output of the matched filter, emphasizing that the received signal depends on the scattering parameters of the target. Then, we devise an optimization procedure to select the OFDM waveform such that the volume of the corresponding WAF best approximates the volume of a desired Ambiguity Function. We demonstrate the improvement in the resulting Ambiguity Function, along with the associated ACF, through numerical examples. We find that the optimization algorithm puts more signal energy at subcarriers in which the target response is weaker.

Waseem Khan - One of the best experts 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.