Estimation of clutter degrees of freedom for airborne multiple‐input multiple‐output‐phased array radar

Xie, Wu; Zhang, Xichuan; Wang, Yongliang; Zhu, Yongtian

doi:10.1049/iet-rsn.2012.0165

Cited by 8 publications

(4 citation statements)

References 11 publications

(21 reference statements)

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“…An orthogonal projection technique on the clutter subspace and a deterministic direct data domain approach for the STAP of airborne Phased-MIMO radar in the nonhomogeneous clutter scenario are presented in [5]. An estimation rule for clutter degrees of freedom (DOFs) is proposed in [6] for further investigation of the STAP on airborne Phased-MIMO radar. Moreover, in [7], four typical classes of reduced-dimension STAP algorithms are extended to airborne Phased-MIMO radar, and the corresponding rules of clutter rank estimation are also presented.…”

Section: Introductionmentioning

confidence: 99%

An Array Partitioning Scheme of Airborne Phased-Mimo Radar Based on Stap Sinr

Wang¹,

Zou²,

Wang³

2018

PIER Letters

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An airborne phased-multiple-input-multiple-output (Phased-MIMO) radar with collocated antenna array is a tradeoff of phased array radar and MIMO radar. Its transmitting array is divided into multiple subarrays that are allowed to be overlapped. In this letter, we mainly study the array partitioning scheme of the airborne Phased-MIMO radar with equal uniform linear subarrays that are fully overlapped on the basis of space-time adaptive processing (STAP). A mathematical formula is derived to determine the number of subarrays and the elements in each subarray according to the principle of maximum STAP signal-to-interference-plus-noise ratio (SINR). The SINR performances corresponding to different partitioning schemes are simulated and discussed to demonstrate the effectiveness of the proposed mathematical formula for array partitioning in the sense of maximum STAP SINR.

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Section: Introductionmentioning

confidence: 99%

An Array Partitioning Scheme of Airborne Phased-Mimo Radar Based on Stap Sinr

Wang¹,

Zou²,

Wang³

2018

PIER Letters

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“…Nonideal radar configurations, such as bistatic arrays and sparse arrays, have been considered in [10,11]. For MIMO radar, the extension of Brennan's rule of MIMO radar has been proposed by Chen and Vaidyanathan in [12]; Xie et al presented the estimation rule for the clutter DOF of the MIMO-phased array radar in [13]; and Li et al derived the estimation of clutter DOF of wideband MIMO radar in [14]. These references have made great contributions to the successful design of STAP processors.…”

Section: Introductionmentioning

confidence: 99%

Local Degree of Freedom of Clutter for Reduced-Dimension Space-Time Adaptive Processing with MIMO Radar

Guo

Gong

Xiao

2018

International Journal of Antennas and Propagation

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Degree of freedom (DOF) of clutter in the reduced-dimension (RD) domain, which is called local DOF (LDOF), is of great importance for RD MIMO-STAP (space-time adaptive processing for multiple-input multiple-output radar) algorithms. In this paper, the LDOF equivalence of different RD MIMO-STAP algorithms are firstly proved, and then a generalized LDOF estimation rule under different conditions is developed to estimate the clutter LDOF for MIMO radar effectively. The accuracy of the proposed rule is verified, and how to design RD MIMO-STAP processors under the guidance of the proposed rule is presented through numerical simulations.

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“…Therefore, the estimation of clutter DOF for MIMO radar has been intensively studied. Chen gave the extension of Brennan's rule to the MIMO radar case in [6]; Xie estimated the clutter DOF of the MIMO-phased array radar in [7]; Li derived the estimation of clutter DOF of wideband MIMO radar in [8]. These researches have made great contributions to the successful design of STAP processors for MIMO radar.…”

Section: Introductionmentioning

confidence: 99%

Slow-moving Target Detection Method for Airborne MIMO Radar Using Doppler Frequency Movable Waveform

Guo¹,

Yu²,

Gong³

et al. 2017

dtcse

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Abstract. For an airborne radar system, the detection of moving target under the ground clutter has become the research hotspot to worldwide scholars. And the detection of the slow-moving target near the main clutter area is now regarded as one of the difficulty problem. In order to reduce the Minimum Detectable Velocity (MDV) of moving target, a novel slow-moving target detection method is presented for airborne MIMO radar, which transmits Doppler frequency movable waveform (DFMW). By combining the advantages of the MIMO radar and the DFMW, the proposed method could realize the suppression of ground clutter and the detection of the slow-moving target near main clutter area effectively. Simulation results confirm the effectiveness of the proposed method.

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Estimation of clutter degrees of freedom for airborne multiple‐input multiple‐output‐phased array radar

Cited by 8 publications

References 11 publications

An Array Partitioning Scheme of Airborne Phased-Mimo Radar Based on Stap Sinr

An Array Partitioning Scheme of Airborne Phased-Mimo Radar Based on Stap Sinr

Local Degree of Freedom of Clutter for Reduced-Dimension Space-Time Adaptive Processing with MIMO Radar

Slow-moving Target Detection Method for Airborne MIMO Radar Using Doppler Frequency Movable Waveform

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