Compared to the traditional SAR imagingalgorithm, Back Projection(bp) algorithm is an accurate point-by-point imaging radar algorithm based on time-domain, with simple principle and without any approximation error in...
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ISBN:
(纸本)9781510822023
Compared to the traditional SAR imagingalgorithm, Back Projection(bp) algorithm is an accurate point-by-point imaging radar algorithm based on time-domain, with simple principle and without any approximation error in the imaging process. However, because of intensive computation and low efficiency, it's a new challenge to storage to capacity, throughput and processing ability of DSPs, a single DSP is not enough to meet these demands. So a parallel implementation method of bpalgorithm based on TMS320C6678 DSP is proposed in this *** put forward a large point FFT multi-core parallel processing method on 2/4/8 cores what is frequently used in bpalgorithm, and a multi-core synchronization method based on distributed memory. Finally using the measured data, we verify the parallel method can greatly enhance the multi-core parallelism, and the real-time performance of bpalgorithm has been significantly improved.
This paper presents an imagingalgorithm suitable for airborne video synthetic aperture radar (SAR), aiming to address the imaging challenges under different viewing angle conditions. The proposed method utilizes the ...
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ISBN:
(纸本)9798400708305
This paper presents an imagingalgorithm suitable for airborne video synthetic aperture radar (SAR), aiming to address the imaging challenges under different viewing angle conditions. The proposed method utilizes the Back Projection (bp) algorithm to achieve the projection of video SAR under approximate conditions. This method transforms the coordinate relationships in three-dimensional space into two-dimensional coordinates required for bpimaging. Under this condition, the radar coordinates can be represented solely using one azimuth coordinate, thereby simplifying the imagingalgorithm and improving computational efficiency. Additionally, it leverages the characteristics of the bpalgorithm and designs a parallel computing approach based on GPUs. Finally, the method is implemented using the C++ Accelerated Massive Parallelism (AMP) framework, effectively addressing the severe range-azimuth coupling issue and the inapplicability of traditional imagingalgorithms under large squint angle conditions. Results demonstrate that the proposed method exhibits superior imaging performance compared to the Chirp-scaling (CS) imagingalgorithm. Furthermore, the imagingalgorithm proposed in this paper significantly improves efficiency compared to traditional serial implementation methods.
Through the wall imaging (TWI) is a difficult but important task for both law enforcement and military missions. Getting information on both the internal features of a structure and the location of people inside is pl...
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ISBN:
(纸本)9781424434275
Through the wall imaging (TWI) is a difficult but important task for both law enforcement and military missions. Getting information on both the internal features of a structure and the location of people inside is playing an important role in many fields such as anti-terrorism, search and rescue hostage, and barricade situations. Up to now, many researchers have developed diverse experimental systems, most of which are based on linear antenna array to get the image of objects. However, the backward projection (bp) algorithm based on ellipse curves usually generates additional ghost images. In this paper, the algorithm using the imaging probability function (IPF) to reduce the ghost images is proposed and simulated. The results of simulation show that this approach is feasible.
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