Spatial Diversity in Radars—Models and Detection Performance

By Eran Fishler, A. Haimovich, Rick S. Blum, Len Cimini, Dmitry Chizhik, Reinaldo A. Valenzuela. IEEE Transactions on Signal Processing, 2006

1,551 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/3ade4b52a0faa67a45bb10bcd704f20090dd6330

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. P. Vaidyanathan
2. Jian Li
3. Chun-Yang Chen
4. P. Stoica
5. Athina P. Petropulu
6. Rick S. Blum
7. Shannon D. Blunt
8. Eric Mokole

In Signal Processing

1. Jian Li
2. P. Vaidyanathan
3. P. Stoica
4. Chun-Yang Chen
5. Luzhou Xu
6. Rick S. Blum
7. Athina P. Petropulu
8. A. Haimovich

Citations in the corpus

• Direction of Departure (DOD) and Direction of Arrival (DOA) Estimation in MIMO Radar with Reduced-Dimension MUSIC (2010, background): “These additional degrees of freedom are well-qualified for overcoming fading effect, enhancing spatial resolution, strengthening parameter identifiability and also improving target detection performance [3]-[5].”
• Frequency Diverse MIMO Techniques for Radar (2013, methodology): “It has been shown [17] that this MIMO system can outperform conventional, monostatic radars under different points of view even if the overall energy is kept constant and the complexity is increased reasonably.”
• Power Allocation Strategies for Target Localization in Distributed Multiple-Radar Architectures (2011, background): “In previous studies, [ 4 ], [6], and [10], a fixed system power budget is uniformly allocated to the transmit radars.”
• On Parameter Identifiability of MIMO Radar (2007, background): “Then under the simplifying assumption of point targets, the received data vector can be described by the following equation (see, e.g., [6] and [ 7 ]):”
• Overview of radar waveform diversity (2016, methodology): “This arrangement has been known by many names, including netted radar [295, 296], statistical MIMO [240, 297–299], and more classically as multistatic radar or multisite radar [300–305].”
• Transmit beamforming for MIMO radar systems using partial signal correlation (2004, background): “Introduction Next-generation radar systems [1-4] will be characterized by multiple uncalibrated transmit/receive apertures, wideband signals, online flexibility in the choice of the transmitted wav eforms, and high-throughput signal processing capabilities for post-processing.”
• See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks (2011, background): “The use of many distributed antennas is a type of spatial diversity for a radar system which can then avoid nulls in the radar cross-section (RCS) of a scattering object as a function of scattering angle [18].”
• MIMO radar waveform design based on mutual information and minimum mean-square error estimation (2007, methodology): “MIMO radar can exploit the spatial diversity of target scatters, and enables a variety of new techniques that can improve the performance in many aspects [13].”
• Designing Unimodular Sequence Sets With Good Correlations—Including an Application to MIMO Radar (2009, background): “This increased virtual aperture enables many of the MIMO radar advantages, such as better detection performance [1], improved parameter identifiability [2], refined resolution [3], and direct applicability of adaptive array techniques [4].”