Signal processing method for random noise radar applicable to sparse microwave imaging

A sparse microwave imaging and signal processing technology, which is applied in radio wave reflection/re-radiation, using re-radiation, radio wave measurement system, etc., can solve the problems of high ADC data rate, random noise radar data rate reduction, data storage capacity, Problems such as large processing capacity and transmission capacity, to achieve high-resolution effects

Active Publication Date: 2011-10-05
INST OF ELECTRONICS CHINESE ACAD OF SCI
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Problems solved by technology

High-resolution random noise detection radar and imaging radar also encounter the problems of high ADC data rate, large data storage capacity, processing capacity and large transmission capacity. It is necessary to study the method of reducing the data rate of random noise radar

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  • Signal processing method for random noise radar applicable to sparse microwave imaging
  • Signal processing method for random noise radar applicable to sparse microwave imaging
  • Signal processing method for random noise radar applicable to sparse microwave imaging

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Embodiment Construction

[0059] In radar target detection, radar imaging, SAR imaging, ISAR imaging and ultra-wideband imaging radars, in order to obtain high resolution, high signal-to-noise ratio and other performance, it is often necessary to transmit signals with a large bandwidth. According to the traditional Nyquist sampling theorem, the echo signal must be sampled at a sampling rate twice the bandwidth. The high sampling rate brings a large amount of data, and also puts a lot of processing pressure on the storage, transmission and processing of data. At the same time, traditional radar systems have a high probability of being intercepted due to the strong correlation of the transmitted signals, and their electronic anti-resistance capabilities are not strong. A random noise radar system suitable for sparse microwave imaging. The number of sampling points required is determined according to the sparse characteristics of the observed scene. Since actual scenes often have obvious sparse characteri...

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Abstract

The invention discloses a signal processing method for a random noise radar applicable to sparse microwave imaging, and relates to microwave imaging technologies. For a target scene with sparse characteristics, a transmit signal of a system is band-limited Gaussian random white noise; and observation data with observed quantity less than that required by a nyquist sampling theorem is obtained by a low-speed uniform sampling method during reception. After an observation matrix is set up in combination of a transmit signal form and a data acquisition manner, a backscattering coefficient of a scene target is obtained by optimizing and resolving the compressed sensing of a sparse signal processing theory, and high-resolution target detection and imaging are achieved. In order to improve calculating efficiency, a block signal processing method of the random noise radar applicable to the sparse microwave imaging is adopted; and during block processing, a corresponding block observation matrix is set up in combination with a block form of the data. Compared with the conventional radar system, the invention has the advantages that: a little observation data is needed to achieve the same resolution; and higher resolution can be achieved when the same observation data quantity is adopted.

Description

Technical field [0001] The invention relates to the technical field of microwave imaging, in particular to a signal processing method of random noise radar suitable for sparse microwave imaging. Background technique [0002] Traditional high-resolution detection radars, synthetic aperture radars, and inverse synthetic aperture radars transmit electromagnetic pulses to the observed area through a transmitting antenna, and use the receiving antenna to receive the radar's echo. Echoes are usually converted into digital signals and stored. The computer processes these data to achieve target detection and scene imaging. An analog-to-digital converter (ADC) must be used when converting the echoed analog signal into a digital signal. This sampling process can occur before or after matched filtering (Merrill I. Skolnik, "Radar Handbook (Second Edition)", McGraw-Hill, 1990; and N. Levanon and E. Mozeson, "Radar Signals", 2004). According to the formula of radar resolution, the resolutio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G01S13/89
Inventor 张冰尘洪文吴一戎林月冠
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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