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The problem of detecting ground moving targets with arbitrary linear motion using an airborne multiple-input multiple-output (MIMO) radar is considered. The proposed approach leverages a long coherent processing interval (CPI), and maximizes the moving target signal energy via matching the target's azimuthal signature. The algorithm forms SAR images focused to different hypothesized along-track target...
Multiple-input multiple-output (MIMO) forward looking ground penetrating radar (FLGPR) systems have shown the capability to improve performance for landmine detection. By leveraging multiple collocated transmitters and receivers, the waveform diversity offered by MIMO FLGPR systems provides performance enhancement in target detection, parameter identifiability, and increased cross-range resolution...
Transmit beamforming can be performed to achieve capacity gains by spatially multiplexing multiple users and reduce outages by spatial interference mitigation. In this paper, we investigate the multiuser multiple input single output (MU-MISO) transmission in a two-tier femtocell network where base stations in each tier follow an independent Poisson point process (PPP), and provide insights into the...
In some radar operating environments multipath clutter is the dominant source of interference. Since the multipath clutter may hide the desired target returns, an effective method of clutter suppression is required. MIMO radar systems can discriminate multipath returns from target returns by estimating the directions of departure and arrival. Multipath clutter suppression using the conventional beamformer...
Linear minimum mean-squared error (LMMSE)-based channel equalization is widely used in multi-input multioutput (MIMO) underwater acoustic communications (UAC). The practical challenge of LMMSE based schemes is the necessity of matrix inversion which generally imposes heavy computational burden on the receiver. To obtain the LMMSE filters efficiently, we exploit the conjugate gradient method and the...
The usage of multi-input-multi-output (MIMO) systems such as a MIMO radar allows the array elements to transmit different waveforms freely. This waveform diversity can lead to flexible transmit beampattern synthesis, which is useful in many applications such as radar/sonar and biomedical imaging. In the past literature most attention was paid to receive beampattern design due to the stringent constraints...
We present in this paper a regularized sparse signal recovery algorithm, referred to as sparse learning via iterative minimization (SLIM), to provide ground moving target indication (GMTI) through multiple-input multiple-output (MIMO) radar angle-Doppler imaging. A slow-time modulation scheme with code division multiplexing is employed to achieve transmit diversity. In this way, we avoid the high...
We compare several multiple-input multiple-output (MIMO) radar transmission schemes, including code division, time division and Doppler frequency division multiplexing approaches, for ground moving target indication (GMTI). To utilize probing waveforms with low sidelobe levels for range compression, we transmit sequences specifically designed to have low correlation levels. At the receiver side, we...
Effective training sequences and reliable channel estimation algorithms are essential for enhancing the performance of multi-input multi-output (MIMO) underwater acoustic communications (UAC). Also, effective interference cancellation schemes are crucial for reliable symbol detection. In this paper, the problem of designing MIMO training sequences is considered. Moreover, we present a sparse learning...
Through waveform diversity, multiple-input multiple-output (MIMO) radar can achieve higher resolution and better sensitivity to slowly moving targets than phased-array radar systems. Furthermore, with a MIMO antenna array, the linear independence of reflected signals from scattering points allows for the direct application of adaptive array processing techniques. High levels of noise and strong clutter...
A multi-input multi-output (MIMO) radar system that transmits orthogonal waveforms via its antennas can achieve a greatly increased virtual aperture compared with its phased-array counterpart. Practical radar requirements such as unit peak-to-average power ratio and range compression dictate that we use MIMO radar waveforms that have constant modulus and good auto- and cross-correlation properties...
We consider improving the performance of orthogonal frequency-division multiplexing (OFDM)-based mobile broadband wireless communication (MBWC) systems over time-varying frequency-selective fading channels. To battle the problem related to frequency-selective fading, we can use space-time block coding (STBC) on each OFDM subcarrier. To battle the problem related to time varying as well as that related...
We consider using multi-input multi-output (MIMO) radar to improve the ground moving target indication (GMTI) performance, especially for slowly moving targets, for airborne surveillance systems. The increased virtual aperture afforded by MIMO radar systems enables many advantages, including enhanced spatial resolution, improved parameter identifiability and better performance for GMTI. To obviate...
This paper focuses on the channel estimation and symbol detection problems in multi-input multi-output (MIMO) underwater acoustic (UWA) communications. To enhance channel estimation performance, a cyclic approach for designing training sequences and an iterative adaptive approach (IAA) for estimating the channel taps are presented. Sparse channel estimates can be obtained. by combining IAA with the...
MIMO radar can achieve superior performance over the conventional phased-array radar through waveform diversity. Considerations in transmit waveform and receive filter design are central to attaining improved performance through a MIMO system. Moreover, adaptive array techniques are needed to improve accuracy, resolution and to further provide interference suppression. Recently, the weighted least-squares...
Compared to traditional phased-array radar, multiple-input multiple-output (MIMO) radar can offer better parameter identifiability and higher resolution, enable the direct applicability of adaptive techniques for effective interference and jamming suppression, and allow for much flexibility for transmit beampattern design and waveform optimization. Reaping the full benefit of the superior performance...
A multi-input multi-output (MIMO) radar system, unlike a standard phased-array radar, can transmit multiple probing signals that are correlated or uncorrelated with each other. This waveform diversity offered by the MIMO radar is the main reason for its superiority over the standard phased-array radar. An interesting current research topic in MIMO radar is the optimal synthesis of the transmitted...
A multi-input multi-output (MIMO) radar can be used to form a synthetic aperture for high resolution imaging. To successfully utilize the MIMO synthetic aperture radar (SAR) system for practical imaging applications, constant-modulus transmit signal synthesis and optimal receive filter design play critical roles. We present in this paper a computationally attractive cyclic optimization algorithm for...
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