基于正交壓縮采樣系統(tǒng)的脈沖雷達(dá)回波信號(hào)實(shí)時(shí)重構(gòu)方法

張素玲; 席峰; 陳勝垚; 劉中

doi:10.11999/JEIT150767

基于正交壓縮采樣系統(tǒng)的脈沖雷達(dá)回波信號(hào)實(shí)時(shí)重構(gòu)方法

doi: 10.11999/JEIT150767

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61171166, 61401210, 61571228)，中國(guó)博士后科學(xué)基金(2014M551597)

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出版歷程
- 收稿日期: 2015-06-29
- 修回日期: 2016-02-22
- 刊出日期: 2016-05-19

A Real-time Reconstruction Scheme of Pulsed Radar Echoes with Quadrature Compressive Sampling

Funds:

The National Natural Science Foundation of China (61171166, 61401210, 61571228), China Postdoctoral Science Foundation (2014M551597)

摘要

摘要: 正交壓縮采樣是低速獲取帶通模擬信號(hào)同相和正交分量的新型模信轉(zhuǎn)換系統(tǒng)，可廣泛應(yīng)用于雷達(dá)、通信等電子系統(tǒng)。但是對(duì)于寬帶或超寬帶脈沖雷達(dá)，重構(gòu)奈奎斯特率的全程回波信號(hào)需要大的存儲(chǔ)空間和計(jì)算量，以致于難以實(shí)現(xiàn)實(shí)時(shí)重構(gòu)。該文在對(duì)正交壓縮采樣系統(tǒng)特性進(jìn)行分析的基礎(chǔ)上，將測(cè)量矩陣近似成一種具有特殊帶狀結(jié)構(gòu)的矩陣，然后采用分段滑動(dòng)重構(gòu)思想實(shí)現(xiàn)實(shí)時(shí)重構(gòu)。仿真結(jié)果表明，在對(duì)測(cè)量矩陣進(jìn)行合理近似的基礎(chǔ)上，該文提出的重構(gòu)方法可以極大地節(jié)省存儲(chǔ)空間和計(jì)算時(shí)間，實(shí)現(xiàn)近似最優(yōu)的重構(gòu)性能。
- 雷達(dá)信號(hào)處理 /
- 分段滑動(dòng)重構(gòu) /
- 正交壓縮采樣 /
- 模擬信息轉(zhuǎn)換
Abstract: Quadrature Compressive Sampling (QuadCS) is an efficient Analog-to-Information Conversion (AIC) system to sample band-pass analog signals at sub-Nyquist rates. The QuadCS can be widely used in radar and communication systems to acquire sub-Nyquist samples of inphase and quadrature components. However, for wideband or ultra-wideband pulsed radars, it is often impractical to reconstruct Nyquist samples of full-range echoes in real-time because of huge storage and computational loads. Based on the characteristics of QuadCS system, an approximate scheme is proposed to transform the QuadCS measurement matrix into a matrix with a special banded structure. With the banded matrix, a segment-sliding reconstruction method is adopted to perform real-time reconstruction. Simulation results show that with a reasonable approximation of the measurement matrix, the proposed reconstruction scheme achieves nearly optimal reconstruction performance with a significant reduction of data storage and computational time.
- Radar signal processing /
- Segment-sliding reconstruction /
- Quadrature compressive sampling /
- Analog-to- Information Conversion (AIC)

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