On Parameter Identifiability of MIMO Radar

By Jian Li, P. Stoica, Luzhou Xu, William Roberts. IEEE Signal Processing Letters, 2007

595 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/dae132ab9f45f16b29c70aa8c0cc180f14c7edd9

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. Chun-Yang Chen
3. Luca Sanguinetti
4. Emil Björnson
5. Jian Li
6. P. Stoica
7. Hao He
8. Jakob Hoydis

In Signal Processing

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

Citations in the corpus

• MIMO Radar with Colocated Antennas (2007, background): “depending on the array geometry and how many antennas are shared between the transmit and receive arrays [19].”
• A 77-GHz FMCW MIMO Radar Based on an SiGe Single-Chip Transceiver (2009, background): “Therefore, the number of resolvable targets in the same range bin is increased compared to a conventional radar, as shown in [18].”
• MIMO Radar Waveform Optimization With Prior Information of the Extended Target and Clutter (2009, background): “pability [30], [31], improved parameter identifiability [29], and enhanced flexibility for transmit beampattern design [5], [7].”
• 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].”
• Joint Range and Angle Estimation Using MIMO Radar With Frequency Diverse Array (2015, background): “In the traditional radar, the accuracy of the range estimate is determined by the bandwidth of the transmitted signal, which cannot be further improved.”
• Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, background): “correlated or uncorrelated probing signals and thus improve system performance (compared to phased arrays) in several ways [135]: 1) increasing the number of targets that can be uniquely identified (up to M , where M is the number of transmit antennas) [136]; 2) achieving high spatial resolution and”
• Target detection and parameter estimation for MIMO radar systems (2008, background): “It has been shown that by exploiting this waveform diversity, MIMO radar can overcome performance degradations caused by the radar cross section (RCS) fluctuations [1—4], achieve flexible spatial transmit beampattern design [5, 6], provide high-resolution spatial spectral estimates [7—16], and signi”
• Signal Synthesis and Receiver Design for MIMO Radar Imaging (2008, unknown): “Index Terms—Instrumental variables, multiple-input–multipleoutput (MIMO), receive filter design, signal synthesis.”
• Target Localization Accuracy Gain in MIMO Radar-Based Systems (2008, background): “MIMO radar systems have been shown to offer considerable advantages over traditional radars in various aspects of radar operation, such as the detection of slow moving targets by exploiting Doppler estimates from multiple directions [16], the ability to identify and separate multiple targets [9], [1”