An Efficient Coherent Integration Method for Maneuvering Target Detection With Nonuniform Pulse Sampling Based on Filterbank Framework

Ma, Ji; Huang, Penghui; Yu, Jongmin; Li, Guang; Liao, Guisheng; Sun, Siyue; Jiang, Xinglong

doi:10.1109/lgrs.2019.2962065

Cited by 21 publications

(9 citation statements)

References 13 publications

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“…It can be seen from ( 10) that the time evolution of range for a CCV target is a highly nonlinear function with the square root over the second order polynomial. Note that although the accurate range evolving equation in (10) is derived in a two-dimensional Cartesian coordinates, the same equation can be obtained in the three-dimensional Cartesian coordinates. The polynomial motion models, such as the first-order polynomial model, the second-order polynomial model, fail…”

Section: Accurate Range Evolving Modelmentioning

confidence: 99%

“…to accurately describe the model in (10). Actually, in order to represent the model in (10) by polynomial, Taylor series expansion with infinite terms is required as…”

Section: Accurate Range Evolving Modelmentioning

confidence: 99%

“…To improve the detection performance of targets in a large coverage of position and target characteristic via pulse integration is a hot topic in the area of radar technology [1][2][3][4][5][6][7][8][9][10]. It is known that coherent integration can produce better performance than the noncoherent integration by compensating phase fluctuation among sampling pulses [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Coherent Integration for Targets with Constant Cartesian Velocities Based on Accurate Range Model

Zhou¹,

Xu²,

Yang³

2021

Preprint

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Long-time coherent integration (LTCI) is one of the most important techniques to improve radar detection performance of weak targets. However, for the targets moving with constant Cartesian velocities (CCV), the existing LTCI methods based on polynomial motion models suffer from limited integration time and coverage of target speed due to model mismatch. Here, a novel generalized Radon Fourier transform method for CCV targets is presented, based on the accurate range evolving model, which is a square root of a polynomial with terms up to the second order with target speed as the factor. The accurate model instead of approximate polynomial models used in the proposed method enables effective energy integration on characteristic invariant with feasible computational complexity. The target samplings are collected and the phase fluctuation among pulses is compensated according to the accurate range model. The high order range migration and complex Doppler frequency migration caused by the highly nonlinear signal are eliminated simultaneously. Integration results demonstrate that the proposed method can not only achieve effective coherent integration of CCV targets regardless of target speed and coherent processing interval, but also provide additional observation and resolution in speed domain.

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Section: Accurate Range Evolving Modelmentioning

confidence: 99%

“…to accurately describe the model in (10). Actually, in order to represent the model in (10) by polynomial, Taylor series expansion with infinite terms is required as…”

Section: Accurate Range Evolving Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Coherent Integration for Targets with Constant Cartesian Velocities Based on Accurate Range Model

Zhou¹,

Xu²,

Yang³

2021

Preprint

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show abstract

“…Given that these targets are characterised by high-speed manoeuvering, multiple motion parameters, and low-radar cross sections [3][4][5], the moving target detection (MTD) performance is severely degraded [6,7]. Therefore, long-time coherent integration was proposed to enhance radar detection performance [8][9][10]. However, the integration procedures suffer from range migration (RM) caused by velocity, quadratic range migration (QRM), and linear Doppler frequency migration (LDFM) caused by acceleration, and cubic range migration (CRM) and quadratic Doppler frequency migration (QDFM) caused by jerk [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Radar detection and fast motion parameter estimation for complex manoeuvering targets at high speed and acceleration

Gao

Zhang

Tong-xin

2022

IET Radar Sonar & Navi

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Coherent integration of complex manoeuvering targets at high speed and acceleration causes range and Doppler frequency migration and lead to large computational burdens and parameter estimation error. To solve this, the geometric-auxiliary location rotation transform (GLRT), fast parameter estimation method, and periodic, scaled generalised, high-order ambiguity function (PSGHAF) were proposed for this study. The quadratic range migration was corrected using the second-order keystone transform. The GLRT uses the geometrical relationship between the rotation angle and trajectory projection to estimate the velocity and initial range in different noise environments without searching for multidimensional parameters. Thereafter, the high-acceleration and jerk estimations of the target signal are obtained using PSGHAF, which uses the periodicity of discrete Fourier transformation (DFT) to extend the estimation scope of acceleration. This avoids estimation errors without changing the radar system parameters. Compared with others, the proposed algorithm has a lower computational complexity and improved detection performance. Numerical simulations and real data from unmanned aerial vehicles demonstrate the efficacy of the proposed solution. K E Y W O R D Sgeometric-auxiliary location rotation transform, long-time coherent integration, periodic scaled generalised high-order ambiguity function, range migrationThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…The detection of manoeuvring targets with complex motion gradually attracts more and more attentions [1][2][3][4]. For the early-warning radar, the moving target detection (MTD) algorithm is widely utilised, which can be efficiently implemented via the fast Fourier transform (FFT).…”

Section: Introductionmentioning

confidence: 99%

An adaptive non‐searching method for long‐time coherent integration of manoeuvring target with multiple motion models

Zhao

Chen

Cheng

2022

IET Radar Sonar & Navi

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Long-time coherent integration (LTCI) is one of the effective methods to enhance the radar detection capability of manoeuvring targets. In most existing studies, the target is assumed to move at a consistent model during the total integration time. In modern times, this point is not always true. The modern targets often possess strong manoeuvring penetration capability, which enables the presence of multiple motion models (i.e. the target's motion model is changing during the total integration time) with a high possibility, especially when the coherent integration time is long. This factor would reduce the performance of the existing LTCI methods. In this study, an adaptive non-searching method, based on the adjacent cross correlation function (ACCF)/modified ACCF (MACCF), Keystone transform (KT)/second-order KT, Hough transform and fractional Fourier transform, is proposed for LTCI of a manoeuvring target with multiple motion models. First, the motion model change points are identified. Subsequently, the adaptive case prejudgement and parameters estimation for different motion stages are completed. Finally, the LTCI of the manoeuvring target with multiple motion models is realised after motion compensation. Simulation results demonstrate the effectiveness of the proposed method.

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An Efficient Coherent Integration Method for Maneuvering Target Detection With Nonuniform Pulse Sampling Based on Filterbank Framework

Cited by 21 publications

References 13 publications

Coherent Integration for Targets with Constant Cartesian Velocities Based on Accurate Range Model

Coherent Integration for Targets with Constant Cartesian Velocities Based on Accurate Range Model

Radar detection and fast motion parameter estimation for complex manoeuvering targets at high speed and acceleration

An adaptive non‐searching method for long‐time coherent integration of manoeuvring target with multiple motion models

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