MIMO Radar Space-Time Adaptive Processing for Multipath Clutter Mitigation

Mecca,; Ramakrishnan,; Krolik,

doi:10.1109/sam.2006.1677197

Cited by 35 publications

(39 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The resulting waveform diversity in MIMO radars enables superior performance including improved target identifiability [12], clutter/interference rejection that includes fading mitigation [13], and interference suppression [14]. The advantages of a MIMO radar system with both colocated and widely separated antenna elements are further investigated in [15] to offer improved resolution and higher sensitivity towards detecting moving targets.…”

Section: Introductionmentioning

confidence: 99%

Time reversal MIMO radar: Improved CRB and Angular Resolution Limit

Foroozan

Asif

Boyer

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

View full text Add to dashboard Cite

The paper derives closed form (nonmatrix) expression for the deterministic Cramér-Rao bound (CRB) for the direction-of-arrival associated with a target embedded in a noisy, multipath channel using the time reversal (TR) MIMO system. By incorporating the TR built-in adaptive waveform processing feature to reshape the MIMO probing signals, we prove that the CRBs for the direction of arrival can be improved in ways not foreseen with the conventional MIMO radars. A second contribution of the paper is the analytical derivation of the Angular Resolution Limit (ARL) defined as the minimal separation between two targets to be separately resolved by the MIMO radar. At high signal-to-noise ratio, we show that the TR ARL inherits the properties of the TR CRB and is superior to its conventional counterpart by a factor proportional to the order of the channel multipath.

show abstract

Section: Introductionmentioning

confidence: 99%

Time reversal MIMO radar: Improved CRB and Angular Resolution Limit

Foroozan

Asif

Boyer

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

View full text Add to dashboard Cite

show abstract

“…The signalto-noise ratio (SNR) and interference-to-noise ratio (INR) are set to be equal to 0 dB and 40 dB, respectively. The CVX toolbox [15] is used to solve the problems (9), (10), and (12).…”

Section: Simulation Resultsmentioning

confidence: 99%

“…For given values of δ and γ, the feasibility of (12) is guaranteed if ε ≥ ε min is used where ε min is the minimum value of B − B q F that can be calculated by solving (10).…”

Section: Beamspace Design With Robustness/adaptivenessmentioning

confidence: 99%

“…Beamforming techniques have been employed in colocated MIMO radar to achieve coherent processing gain or desirable beampatterns [5]- [9]. Space-time adaptive processing techniques have also been exploited to mitigate clutter [10], [11]. One issue that is of great importance for colocated MIMO radar is to suppress the jamming signals which are typical interfering sources that Y. Li's work is supported by China Scholarship Council while he is visiting Aalto University, and by the Fundamental Research Funds for the Central Universities of China under Contract ZYGX2010YB007, and the National Nature Science Foundation of China under Grant 61032010.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

MIMO radar capability on powerful jammers suppression

Vorobyov

Hassanien

2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

View full text Add to dashboard Cite

The problem of jammers suppression in colocated multipleinput multiple-output (MIMO) radar is considered. We resort to reduced dimension (RD) beamspace designs with robustness/adaptiveness to achieve the goal of efficient jammers suppression. Specifically, our RD beamspace techniques aim at designing optimal beamspace matrices based on reasonable tradeoffs between the desired in-sector source distortion and the powerful jammer (possibly in-sector) attenuation when conducting the jammers suppression. These designs are cast as convex optimization problems which are derived using secondorder cone programming. Meanwhile, we study the MUSICbased direction-of-arrival estimation performance of the proposed beamspace designs by comparing to the conventional algorithms. Moreover, we demonstrate that the capability of efficient powerful in-sector jammers suppression using these designs is unique in MIMO radar.

show abstract

“…Waveform diversity in these types of MIMO radars can be used to increase the spatial resolution [4], excellent interference rejection capability [9], [10], improve parameter identifiability [11], and enhanced flexibility for transmit beampattern design [12], [13] which are discussed and referred [4]. Final goal in colocated MIMO radars which are the main purpose of this paper, is to design suitable waveforms to achieve our desire beampattern, detection, parameter identifiability and etc.…”

Section: Introductionmentioning

confidence: 99%

Covariance based MIMO Radar Beampattern Design in NonUniform Arrays

Roshanzamir¹

2014

IOSRJEN

View full text Add to dashboard Cite

-Multiple Input Multiple Output (MIMO) radar is an emerging technology which has attracted many researchers in recent years. A MIMO radar system unlike a conventional phased array radar, can choose freely the probing signals transmitted via its antennas to maximize the power around the locations of the targets of interest, or more generally to approximate a given transmit beampattern, and also to minimize the cross correlation of the signals reflected back to the radar by the targets of interest. In this paper, we show how the above desirable features can be achieved by designing the covariance matrix of the probing signal vector transmitted by the radar and location of antennas. Until now many papers have investigated cross correlation matrix only, but in this paper we will include location of transmitter antennas as well to improve the results. And we will show that changing into location of antennas is equivalent to change into career frequency. Additionally, we demonstrate the advantages of several MIMO transmit beampattern designs, including a pushing away sidelobes which are next to main lobe design case and to maximize the power around the locations of the targets of interest with producing any extra sidelobes.

show abstract

MIMO Radar Space-Time Adaptive Processing for Multipath Clutter Mitigation

Cited by 35 publications

References 0 publications

Time reversal MIMO radar: Improved CRB and Angular Resolution Limit

Time reversal MIMO radar: Improved CRB and Angular Resolution Limit

MIMO radar capability on powerful jammers suppression

Covariance based MIMO Radar Beampattern Design in NonUniform Arrays

Contact Info

Product

Resources

About