OFDM MIMO Radar With Mutual-Information Waveform Design for Low-Grazing Angle Tracking

Sen, Satyabrata; Nehorai, Arye

doi:10.1109/tsp.2010.2044834

Cited by 143 publications

(80 citation statements)

References 40 publications

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“…When considering the orthogonality of the transmitted waveforms and the influence of ionosphere to echoes, it is important to design optimized waveforms that are suitable for the multi-layer ionospheric propagation circumstance, which should also be able to reduce the impact of clutter, interference and noise. Based on the groundwork from [15,16,19,20], which applied mutual information theory to design of MIMO radar waveform in order to improve target detection performance, we propose a novel two-step waveform optimization algorithm (named Max-Min algorithm) for MIMO-OTHR.…”

Section: Two-step Waveform Optimization Algorithmmentioning

confidence: 99%

Mimo-Othr Waveform Optimization Based on the Mutual Information Theory

Luo¹,

Zhao

Luo³

2016

PIER M

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Abstract-In traditional over-the-horizon radar (OTHR), multipath propagation due to the multilayer ionospheric structure always deteriorates the detection performance. The properties of multipleinput multiple-output (MIMO) radar technique, which transmits wide beams with low gain at the transmitter and achieves receiver beam-forming to obtain narrow beams with high gain, make it an ideal choice for OTHR to detect target through multi-layer ionosphere and suppress strong clutter. This paper investigates the assumption of a two-layer ionospheric model and proposes a two-step MaxMin algorithm based on the mutual information theory to optimize MIMO-OTHR waveform so as to suppress clutter, interference and noise. The first step is to maximize the mutual information between the echo and target response from the same direction of arrival (DOA) in order to reduce the impact of noise. The second step is to minimize the mutual information between the echoes from different DOAs, in order to suppress the clutter and interference by reducing the correlation of the echoes from the different DOAs. Numerical experiments validate that this algorithm can improve range resolution and detection probability significantly. Experiment results also demonstrate that the previously harmful multipath propagation can be utilized to enhance the detection performance in MIMO-OTHR.

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Section: Two-step Waveform Optimization Algorithmmentioning

confidence: 99%

Mimo-Othr Waveform Optimization Based on the Mutual Information Theory

Luo¹,

Zhao

Luo³

2016

PIER M

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“…As indicated by Paulus and Anderson [111], (20) is a good practical approximation to the average M( ) profile, and has been widely used as input to the PE propagation model applied under evaporation duct conditions [27,33,40,73,97,[111][112][113][114][115]. Equation (20), however, has been obtained assuming thermally neutral troposphere stratification and does not account for the tropospheric stability effects on the M profile [7,29,33]. Attempts at improving (20) have been made by changing the slope in different parts of the log-linear curve [116,117], thus making it to better fit the experimental profiles and, hence, include the influence of tropospheric stability.…”

Section: Modeling Of the Environmentmentioning

confidence: 99%

“…Equation (20), however, has been obtained assuming thermally neutral troposphere stratification and does not account for the tropospheric stability effects on the M profile [7,29,33]. Attempts at improving (20) have been made by changing the slope in different parts of the log-linear curve [116,117], thus making it to better fit the experimental profiles and, hence, include the influence of tropospheric stability. Recent efforts of the US Naval Postgraduate School to develop a state-of-the-art bulk evaporation duct model (referred to as NPS model) based on measured (or modeled) values of wind speed, air and sea temperature, relative humidity and atmospheric pressure have led to restoration of high-fidelity profiles and evaporation duct heights [118].…”

Section: Modeling Of the Environmentmentioning

confidence: 99%

“…However, the NPS model still leaves room for improvements: the model is very accurate under unstable troposphere (when the air above the sea is colder than the sea surface), whereas in highly stable conditions (namely, combination of large positive air-sea temperature difference and low wind and humidity) the NPS model becomes untrustworthy [29]. For further discussion on (20), the evaporation duct models, and comparison between them, the reader is referred to [7,9,29,110,119]. The above discussed evaporation duct model applied to an open ocean.…”

Section: Modeling Of the Environmentmentioning

confidence: 99%

“…• is the cause of unexpected interference between satellite and/or terrestrial communications systems [15][16][17][18], wrong determination of the angle of arrival in the case of satellite to ship communications [19] and errors in target position estimation by surveillance radars [20];…”

Section: Introductionmentioning

confidence: 99%

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Brief review on PE method application to propagation channel modeling in sea environment

Sirkova

2011

Open Engineering

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This work provides an introduction to one of the most widely used advanced methods for wave propagation modeling, the Parabolic Equation (PE) method, with emphasis on its application to tropospheric radio propagation in coastal and maritime regions. The assumptions of the derivation, the advantages and drawbacks of the PE, the numerical methods for solving it, and the boundary and initial conditions for its application to the tropospheric propagation problem are briefly discussed. More details are given for the split-step Fourier-transform (SSF) solution of the PE. The environmental input to the PE, the methods for tropospheric refractivity profiling, their accuracy, limitations, and the average refractivity modeling are also summarized. The reported results illustrate the application of finite element (FE) based and SSF-based solutions of the PE for one of the most difficult to treat propagation mechanisms, yet of great significance for the performance of radars and communications links working in coastal and maritime zones -the tropospheric ducting mechanism. Recent achievements, some unresolved issues and ongoing developments related to further improvements of the PE method application to the propagation channel modeling in sea environment are highlighted.

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Coherent Mimo Radar and Waveform Diversity

Gianelli

Stoica

2015

Wiley Encyclopedia of Electrical and Electronics Engineering

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Multiple‐input multiple‐output (MIMO) radar technology has gained considerable attention, from both theorists and practitioners, in the past decade due to its capability to expand radar system functionality and open previously unexplored design space. This work seeks to provide a basic understanding of coherent MIMO radar technology, the performance enhancements that can be attained by using the technology, and the associated drawbacks involved in operating a coherent MIMO radar. Attention is paid to achieve the required waveform orthogonality for a MIMO radar system, and several operating concepts are presented and described. Radar basics are discussed first, followed by a description of the MIMO radar concept. Examples of radar applications that may benefit from the application of MIMO radar are presented. Methods for achieving waveform orthogonality in practical MIMO radar systems are described, and the performance tradeoffs involved in implementing these operation modes are discussed. Information on general radar waveforms, and their suitability for use in a MIMO radar system, is provided. Two examples of MIMO radar systems are discussed, with special emphasis placed on the benefit obtained by applying MIMO radar technology.

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OFDM MIMO Radar With Mutual-Information Waveform Design for Low-Grazing Angle Tracking

Cited by 143 publications

References 40 publications

Mimo-Othr Waveform Optimization Based on the Mutual Information Theory

Mimo-Othr Waveform Optimization Based on the Mutual Information Theory

Brief review on PE method application to propagation channel modeling in sea environment

Coherent Mimo Radar and Waveform Diversity

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