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Compressive sensing radar imaging algorithm based on subspace tracking

A technology of subspace tracking and radar imaging, which is applied in the field of imaging simulation, can solve the problems of high sampling rate and difficulty in real-time processing of large data volumes, and achieve the effects of reducing sampling rate, saving experimental testing costs, and enhancing the ability to resist noise

Active Publication Date: 2012-06-13
NANJING UNIV OF SCI & TECH +1
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Problems solved by technology

This brand-new signal processing theory provides the possibility to overcome the inherent defects of traditional radar and solve the problems of high sampling rate, large data volume and real-time processing difficulties faced by traditional high-resolution radar.

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  • Compressive sensing radar imaging algorithm based on subspace tracking
  • Compressive sensing radar imaging algorithm based on subspace tracking

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Embodiment Construction

[0026] In the compressed sensing radar imaging algorithm based on subspace tracking in the present invention, the physical optics method is first used to obtain echo data, and then under-sampled. Then according to the form of the echo signal, the sparse basis function is designed. Second, call the corresponding compressed sensing reconstruction algorithm to restore the signal. Finally, traditional imaging methods are used to image it. This method can reduce the sampling rate while ensuring the imaging quality, thereby alleviating the hardware pressure.

[0027] see figure 2 The theoretical block diagram of encoding and decoding based on compressed sensing, and figure 1 In comparison, it can be clearly seen that the sampling and encoding of compressed sensing radar occur simultaneously, and the Nyquist sampling criterion does not need to be satisfied. Figure 4 is the flow chart of the subspace tracking algorithm, Figure 5 It is the flowchart of the orthogonal matching p...

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Abstract

The invention discloses a compressive sensing radar imaging algorithm based on subspace tracking. By using a physical optical method, corresponding echo data are calculated, radar echo data are analyzed, a sparse model of a signal is established, and echo reconstruction is realized by using an effective and steady subspace tracking algorithm, so that synthetic aperture radar imaging is realized. The signal is subjected to non-adaptive sampling by using a compressive sensing theory at the speed rate which is much lower than Nyquist sampling rate. Therefore, the compressive sensing theory is applicable to synthetic aperture radar imaging, an imaging effect can be achieved, and the aim of reducing the sampling rate of the echo data is fulfilled, so that simulation time is shortened, and the cost of a radar system can be reduced.

Description

technical field [0001] The invention belongs to imaging simulation technology, in particular to a compressed sensing radar imaging algorithm based on subspace tracking. Background technique [0002] The compressed sensing theory breaks through the limitations of the traditional Nyquist sampling theorem. It completes the compressed sampling and reconstruction of the signal based on the sparsity of the signal, the randomness of the measurement matrix, and the nonlinear optimization algorithm. This brand-new signal processing theory provides the possibility to overcome the inherent defects of traditional radar and solve the problems of high sampling rate, large data volume and real-time processing difficulties faced by traditional high-resolution radar. Radar imaging is to use the target echo signal received by the radar observation system to obtain the spatial distribution of the electromagnetic scattering characteristics of the target. Using compressed sensing to study radar ...

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Application Information

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IPC IPC(8): G01S7/02G01S13/90
Inventor 陈如山陈磊孙文锋尚社刘志伟张欢欢丁大志樊振宏王道祥
Owner NANJING UNIV OF SCI & TECH
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