層析SAR系統(tǒng)基線優(yōu)化設(shè)計
doi: 10.11999/JEIT140710
基金項目:
國家自然科學(xué)基金(61271291, 61201285, 61271024, 61201292, 61201283)，新世紀(jì)優(yōu)秀人才支持計劃(NCET-09-0630)，全國優(yōu)秀博士學(xué)位論文作者專項資金(FANEDD-201156)和中央高?；究蒲袠I(yè)務(wù)費專項資助課題
Optimal Baseline Design for SAR Tomography System
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摘要: 自然場景3維影像重構(gòu)是層析合成孔徑雷達(TomoSAR)的重要應(yīng)用。傳統(tǒng)方法在沿高程維進行層析處理時，均通過對等距線陣模型進行加權(quán)的方式，以主瓣展寬為代價來抑制方向圖旁瓣水平。針對該問題，該文建立一種基于非等距線陣的峰值旁瓣比極小極大優(yōu)化模型，即在約束主瓣寬度一定的情況下，通過陣元位置的優(yōu)化配置來獲取觀測場景視角范圍內(nèi)任意指向的最優(yōu)旁瓣水平；提出一種目標(biāo)函數(shù)離散柵格化方法，進而采用序列二次規(guī)劃(SQP)方法并結(jié)合差分進化算法特有的全局記憶能力，以獲取最優(yōu)陣元配置方案。對PolSARpro全極化層析SAR仿真數(shù)據(jù)的處理結(jié)果表明該方法能夠有效地應(yīng)用于自然場景的3維影像重構(gòu)。
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關(guān)鍵詞:
- 層析合成孔徑雷達 /
- 基線優(yōu)化設(shè)計 /
- 極小極大最優(yōu)化 /
- 序列二次規(guī)劃
Abstract: Nowadays 3-D reconstruction for natural scene is an important aspect of the Earth observation with SAR Tomography (TomoSAR). The general method for pattern sidelobe suppression, during the tomographic processing, is usually implemented with the weighting of uniform linear array, however at the expense of mainlobe broadening. In this paper, a minimax optimization model for cells configuration is constructed based on non-uniform linear array, to achieve the optimal peak sidelobe ratio with a fixed mainlobe width for any beam direction in the range of perspectives. For this, an objective function rasterisation is proposed and then the optimal solution can be figured out by the Sequence Quadratic Programming (SQP) with differential evolution for its unique ability of global memory. Finally, experimental results with PolSARpro polarimetric TomoSAR data validate the effectiveness of the proposal for natural scene 3-D image reconstruction. -
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