Continuous PRI Variation and Phase Center Adjustment for Azimuth Uniform Sampling in Staggered SAR

Xu, Wei; Hu, Jialuo; Huang, Pingping; Tan, Weixian; Gao, Zhiqi; Dong, Yifan

doi:10.1109/tgrs.2021.3079230

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…In spite of this, these systems often have much higher two-way side lobe levels than monostatic radars because the receivers use low-directivity antennas. Doppler velocity estimate biases brought on by side lobe contamination have proven to be a major barrier to this technology's wider use [15]. The presented method, based on the frequency-modulated continuous-wave principle, uses both the round-trip phase difference and the frequency difference of the radio wave signal impinging at two widely separated receiving antennas to achieve extremely precise and absolute measurements of the direction of arrival.…”

Section: Block Based Phase Detection Algorithmmentioning

confidence: 99%

Advanced Phase Estimation and Design for Next-Generation Radar Systems: A Digital Approach

Sivaprasad,

Venkataraman,

Murty

2024

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Recent advancements in radar technology necessitate the development of effective digital designs to enhance productivity and reliability, thereby accelerating radar-based applications. This study focuses on the integration of highly accurate phase degree estimation, taking into account the diverse wireless standards prevalent in space applications. Field-Programmable Gate Arrays (FPGAs) in the semiconductor industry, known for their adaptability and scalability, play a pivotal role in advancing space design modeling. This paper presents an analysis of various design challenges encountered in implementing radar systems, introducing a novel approach for milli-degree phase approximation coupled with hardware optimization. The research introduces an enhanced floating-point arithmetic model with double precision, specifically designed to address minute phase errors in time-variant analog signals. The system under investigation examines fundamental signals, including amplitude, frequency, and phase measurements, in relation to the developed sample blocks. High-performance phase approximation design methods proposed herein address issues associated with conventional phase detection and synchronization. To overcome performance trade-offs in traditional phase-detection designs due to signal frequency variations, a CORDIC-based iterative phase computing system is developed. Additionally, a phase correction mechanism is designed for precise milli-degree phase estimation. This comprehensive approach not only refines phase estimation techniques but also contributes significantly to the field of radar applications, particularly in the context of digital system design and signal processing.

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Section: Block Based Phase Detection Algorithmmentioning

confidence: 99%

Advanced Phase Estimation and Design for Next-Generation Radar Systems: A Digital Approach

Sivaprasad,

Venkataraman,

Murty

2024

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“…The variable PRI sequence staggers the blind ranges at different transmitted pulses, i.e., the constant blind ranges caused by traditional HRWS SAR can be shifted and distributed over the whole swath in staggered mode. The PRI variation strategy determines the distribution of the blind areas [26]. The blind area distribution impacts the imaging performance after reconstruction significantly [24], [25].…”

Section: Introductionmentioning

confidence: 99%

Optimized Nonlinear PRI Variation Strategy Using Knowledge-Guided Genetic Algorithm for Staggered SAR Imaging

Zhang

Jiang

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Staggered synthetic aperture radar (SAR), which operates with variable pulse repetition interval (PRI), staggers blind areas to solve the blind range problem caused by constant PRI in conventional high-resolution wide-swath SAR imaging. The PRI variation strategy determines the blind area distribution, and thus has a significant influence on the imaging performance in staggered mode. Generally, the existing strategies based on linear PRI variation can control the blind areas in a straightforward way, which has achieved impressive results. However, the linearity of the PRI variation imposes regularity or even periodicity on the locations of the blind areas, which limits the distribution of the blind areas. The imaging performance has the potential to be further improved by introducing much more irregularity into the PRI sequences. To this end, this paper proposes an optimized nonlinear PRI variation strategy for staggered SAR mode. First, a novel objective function is defined which quantitatively measures the uniformity of the blind area distribution along the slant range and the discontinuity of the blind area distribution along the azimuth. Subsequently, the optimum nonlinear PRI variation strategy is found using an optimization problem and the proposed objective function. A knowledge-guided genetic algorithm is proposed to solve the optimization problem. Comparisons with the existing linear variation strategies show that the proposed strategy can provide a superior imaging performance after reconstruction with a lower objective function value. Simulations and experiments on raw data generated in staggered SAR mode are performed to verify the effectiveness of the optimized nonlinear PRI variation strategy.

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On the Relationship Between PRI Staggering and Sparse Arrays

Chang

Herr

Owen

et al. 2023

2023 IEEE Radar Conference (RadarConf23)

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Continuous PRI Variation and Phase Center Adjustment for Azimuth Uniform Sampling in Staggered SAR

Cited by 3 publications

References 31 publications

Advanced Phase Estimation and Design for Next-Generation Radar Systems: A Digital Approach

Advanced Phase Estimation and Design for Next-Generation Radar Systems: A Digital Approach

Optimized Nonlinear PRI Variation Strategy Using Knowledge-Guided Genetic Algorithm for Staggered SAR Imaging

On the Relationship Between PRI Staggering and Sparse Arrays

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