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Compressed sensing-before testingtracking method based on phased array radar system

A phased array radar, compressed sensing technology, applied in radio wave measurement systems, measurement devices, reflection/re-radiation of radio waves, etc. And other issues

Inactive Publication Date: 2013-05-08
XI AN JIAOTONG UNIV
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Problems solved by technology

However, none of these methods mentioned the hardware implementation of the additional sensing matrix, which is very complex and expensive

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  • Compressed sensing-before testingtracking method based on phased array radar system
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  • Compressed sensing-before testingtracking method based on phased array radar system

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Embodiment Construction

[0086] see Figure 1 to Figure 6 As shown, the present invention contemplates a phased array radar system mounted on an airborne platform. The radar antenna is a uniform linear array (Uniform Linear Array, ULA) composed of N elements. The airborne platform is of height H and is moving at a constant velocity v. The chosen coordinate system is as figure 1 as shown in a. The angle variables φ and θ represent elevation and azimuth angles. The radar operates at a fixed pulse repetition frequency (PRF) f r =1 / T r emit a coherent trigger pulse train, where, T r is the pulse repetition interval (PRI). Transmitter carrier frequency f c =c / λ c , where c is the propagation velocity, λ c is the wavelength. The length of the coherent processing interval (CPI) is equal to KT r . For each PRI, L samples are collected to cover the distance interval. After the radar's matched filter returns from each pulse, for a CPI, the received data set contains LNK complex baseband samples, w...

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Abstract

The invention discloses a compressed sensing-before testing tracking method based on a phased array radar system. The compressed sensing-before testingtracking method based on the phased array radar system comprises the following steps: (1) using noise-driving compressed sensing algorithm to reform and characterize sparse signals of a sparse scenario, (2) separating points occupied by potential objectives from points corresponding to noise, (3) hiving off the potential objectives through a k-means clustering method, (4) and outputting tracks of the test objectives. The compressed sensing-before testingtracking method based on the phased array radar system adopts compressed sensing technology and reforms the whole radar scenario for each distance door in a series of continuous scanning. The compressed sensing-before testingtracking method based on the phased array radar system can not only track in real time in the continuous scanning, but also track in each scanning in real time on the basis of information acquired from multiple illumination intensity. The noise-driving compressed sensing algorithm can effectively reform the radar sparse scenario without changing the existing hardware system due to the optimization of transmission waveform. On the other hand, timely tracking in each scanning can acquire information based on the multiple illumination intensity, and therefore a real objective is effectively identified from false objectives and the clutters.

Description

technical field [0001] The invention relates to the technical field of radar signal processing, in particular to a compression sensing-tracking before detection method based on a phased array radar system. Background technique [0002] Track-before-detect (TBD) algorithms use unthresholded measurements to simultaneously detect and track targets. The TBD algorithm requires detection of targets and tracking of target trajectories by processing unthresholded measurements in successive scans. However, the computational complexity of the TBD algorithm is much higher than that of traditional tracking algorithms. [0003] In recent years, the TBD algorithm has been widely used in radar systems. In [1], continuous-time, continuous-amplitude signals are discretized to reflect functional differentiation of coverage and range gating operations, and a Viterbi-like tracking algorithm is used to perform a generalized likelihood ratio test (GLRT). In [2], the author proposed a series of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/66G01S13/58
Inventor 刘静韩崇昭郭同兴姚向华
Owner XI AN JIAOTONG UNIV
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