Improved Parametric Polar Format Algorithm for High-Squint and Wide-Beam SAR Imaging

Meng, Zhichao; Zhang, Lei; Wang, Guanyong; Lu, Jingyue

doi:10.1109/tgrs.2023.3302856

Cited by 2 publications

(2 citation statements)

References 40 publications

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“…From Equations ( 4) and ( 5), one can see that there is only the linear phase difference exp −j2π x m v f d between the mth and the reference APC for the same Doppler bin, f d . In general, Doppler frequency, f d , and target angle, θ, are one-to-one and the relationship [27] is as follows:…”

Section: Geometry and Signal Modelsmentioning

confidence: 99%

“…From Equations (4) and (5), one can see that there is only the linear phase difference

between the

and the reference APC for the same Doppler bin,

. In general, Doppler frequency,

, and target angle,

, are one-to-one and the relationship [ 27 ] is as follows:

which is also referred as a spatial–time relationship. This linear relationship between

and

can be represented in the spatial–time spectra, as Figure 2 shows.…”

Section: Basic Mathematic Model Constructionmentioning

confidence: 99%

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Range-Dependent Channel Calibration for High-Resolution Wide-Swath Synthetic Aperture Radar Imagery

Zhang,

Meng,

Wang

et al. 2024

Sensors

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High-resolution and wide-swath (HRWS) synthetic aperture radar (SAR) imaging with azimuth multi-channel always suffers from channel phase and amplitude errors. Compared with spatial-invariant error, the range-dependent channel phase error is intractable due to its spatial dependency characteristic. This paper proposes a novel parameterized channel equalization approach to reconstruct the unambiguous SAR imagery. First, a linear model is established for the range-dependent channel phase error, and the sharpness of the reconstructed Doppler spectrum is used to measure the unambiguity quality. Furthermore, the intrinsic relationship between the channel phase errors and the sharpness is revealed, which allows us to estimate the optimal parameters by maximizing the sharpness of the reconstructed Doppler spectrum. Finally, the results from real-measured data show that the suggested method performs exceptionally for ambiguity suppression in HRWS SAR imaging.

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Section: Geometry and Signal Modelsmentioning

confidence: 99%

“…From Equations (4) and (5), one can see that there is only the linear phase difference

between the

and the reference APC for the same Doppler bin,

. In general, Doppler frequency,

, and target angle,

, are one-to-one and the relationship [ 27 ] is as follows:

which is also referred as a spatial–time relationship. This linear relationship between

and

can be represented in the spatial–time spectra, as Figure 2 shows.…”

Section: Basic Mathematic Model Constructionmentioning

confidence: 99%

Range-Dependent Channel Calibration for High-Resolution Wide-Swath Synthetic Aperture Radar Imagery

Zhang,

Meng,

Wang

et al. 2024

Sensors

Self Cite

View full text Add to dashboard Cite

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Anchor-Based, Real-Time Motion Compensation for High-Resolution mmWave Radar

Poole,

Arbabian

2024

IEEE J. Microw.

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In the modern domain of edge sensing and physically compact smart devices, mmWave radar has emerged as a prominent modality, simultaneously offering high-resolution perception capacity and accommodatingly small form factor. The inevitable presence of device motion, however, corrupts the received radar data, reducing target sensing capability and requiring active correction to address the resultant spectral "blurring". Existing motion compensation techniques utilize computationally intensive post-processing algorithms and/or auxiliary hardware, aspects ill-suited for resource-limited edge devices requiring minimal system latency and complexity. Early works also often consider motion dynamics such as pure single-mode vibration, neglecting additional modes as well as non-harmonic motion content. We resolve both of these limitations by presenting a real-time-compatible, generalized complex motion compensation algorithm capable of correcting multicomponent platform trajectories involving both non-harmonic transients and multimode harmonic vibration. The proposed anchor-based approach achieves average SNR gains of 24.9 dB and 19.7 dB across transient duration and target velocity, respectively, and average multimode harmonic suppressions of 38.9 dB and 29.4 dB across vibration parameters and target velocity, respectively. These results, combined with minimal latency (≤ 240 ms), low algorithmic complexity, and the elimination of any additional auxiliary sensors, render the proposed method suitable for deployment in typical edge sensing applications.INDEX TERMS Real-time sensing, mmWave radar, high-resolution radar, imaging radar, complex motion, deconvolution, radar signal processing, anchor point.

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Improved Parametric Polar Format Algorithm for High-Squint and Wide-Beam SAR Imaging

Cited by 2 publications

References 40 publications

Range-Dependent Channel Calibration for High-Resolution Wide-Swath Synthetic Aperture Radar Imagery

Range-Dependent Channel Calibration for High-Resolution Wide-Swath Synthetic Aperture Radar Imagery

Anchor-Based, Real-Time Motion Compensation for High-Resolution mmWave Radar

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