The conditions for orthogonality in Multiple Input Multiple Output (MIMO) radar enable a virtual array gain beneficial to beamforming on receive. However, this condition imposes a constraint on transmit beamforming for various reasons. As a result, a performance loss can be expected when compared to a traditional monostatic phased array. With this in mind, we analyze the complex scattering coefficients for a scenario in which MIMO radar beamforming is used to illuminate an arbitrary target obfuscated by different line-of-sight obstructions such as foliage and/or buildings. Using finite-difference time-domain (FDTD) modeling, our simulations will grow the understanding of how plausible MIMO radar is for detecting targets in challenging environments.
KEYWORDS: Radar, Receivers, Telecommunications, Quadrature amplitude modulation, Modulation, Signal to noise ratio, Frequency modulation, Interference (communication), Imaging systems, Control systems
We present an analysis of receiver performance when diverse waveforms such as the advanced pulse compression noise (APCN) are used. Two perspectives within the shared channel are considered: (1) a radar transceiving APCN in the presence of other radar interference sources, and (2) a communications system transceiving M-ary quadrature amplitude modulation (QAM) in the presence of a radar interference sources practicing waveform diversity. Through simulation, we show how waveform diversity and the ability to tune the APCN spectrum characteristics minimizes interference for co-channel users.
This work demonstrates the feasibility of using the advanced pulse compression noise (APCN) radar waveform for synthetic aperture radar (SAR). Using a simple image formation process (IFP), we not only show that we can successfully form images using the APCN waveform, but we grow our understanding of how different combinations of APCN waveforms and side lobe weighting functions impact SAR image quality. In this paper, an analysis is presented that compares the target range point spread function (PSF) for several simulated SAR images.
This paper describes the development and implementation of evaluation metrics for group state estimator (GSE, i.e.
group tracking) algorithms. Key differences between group tracker metrics and individual tracker metrics are the
method used for track-to-truth association and the characterization of group raid size. Another significant contribution of
this work is the incorporation of measured radar performance in assessing tracker performance. The result of this work
is a set of measures of performance derived from canonical individual target tracker metrics, extended to characterize the
additional information provided by a group tracker. The paper discusses additional considerations in group tracker
evaluation, including the definition of a group and group-to-group confusion. Metrics are computed on real field data to
provide examples of real-world analysis, demonstrating an approach which provides characterization of group tracker
performance, independent of the sensor's performance.
Conference Committee Involvement (3)
Radar Sensor Technology XXIX
13 April 2025 | Orlando, Florida, United States
Radar Sensor Technology XXVIII
22 April 2024 | National Harbor, Maryland, United States
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