基于斜距等效的彈載雙基前視SAR相位空變校正方法
doi: 10.11999/JEIT150782 cstr: 32379.14.JEIT150782
基金項(xiàng)目:
國家自然科學(xué)基金(61001211, 61303035, 61471283), 中央高?；究蒲袠I(yè)務(wù)費(fèi)(K5051202016)
Phase Space-variance Correction Method for Missile-borne Bistatic Forward-looking SAR Based on Equivalent Range Equation
Funds:
The National Natural Science Foundation of China (61001211, 61303035, 61471283), Fundamental Research Funds for the Central Universities (K5051202016)
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摘要: 作為一種特殊的新型雙基合成孔徑雷達(dá)(SAR)成像模式，彈載雙基前視SAR(Missile-borne Bistatic Forward-Looking SAR, MBFL-SAR)可實(shí)現(xiàn)末端俯沖段前視2維成像。然而距離歷程中雙根號及高階項(xiàng)的同時(shí)存在導(dǎo)致其2維頻譜難以有效獲得，且收發(fā)平臺高度的不斷變化和運(yùn)動方向的不同造成回波相位的空變特性。該文提出一種基于斜距等效的MBFL-SAR相位空變校正方法。該方法利用修正的雙曲線斜距模型將具有雙根號和高階項(xiàng)的距離歷程表達(dá)式等效并簡化為單根號斜距表達(dá)形式，進(jìn)而利用駐定相位原理求得其高精度2維頻譜；隨后通過多項(xiàng)式高階擬合的方法精確補(bǔ)償頻譜中空變的相位項(xiàng)，完成場景成像聚焦。該方法可高精度成像且相對于傳統(tǒng)方法聚焦性能有顯著提高。最后，通過仿真驗(yàn)證了所提方法的有效性。
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關(guān)鍵詞:
- 彈載合成孔徑雷達(dá) /
- 雙基前視 /
- 雙曲線斜距模型 /
- 空變性校正 /
- 駐定相位原理
Abstract: As a new and special bistatic SAR imaging mode, Missile-borne Bistatic Forward-Looking SAR (MBFL-SAR) can perform Two-Dimensional (2D) imaging during the terminal diving period of missile. However, double square root and high order terms in range history make it difficult to obtain its 2D frequency spectrum effectively. The changing heights and different velocities of the transmitter and the receiver yield to the space variant characteristic of echo signal phase. This paper presents a phase space-variance correction method for MBFL-SAR based on the revised equivalent range equation. In this method, the range equation containing double square root and high order terms is equivalent and simplified to one only containing single square root, based on which 2D frequency spectrum with high precision is gained using the principle of stationary phase. Then, the space variant phase terms of 2D frequency spectrum are compensated accurately through high order polynomial fitting, followed by the focus of the imaging scene. This method can perform imaging with high precision and is more efficient than the traditional algorithm. Finally, the simulation experiments validate the effectiveness of the proposed algorithm. -
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