基于迭代線性約束最小方差的穩(wěn)健自適應(yīng)脈沖壓縮方法

李秀友; 董云龍; 黃勇; 關(guān)鍵

doi:10.11999/JEIT141631

基于迭代線性約束最小方差的穩(wěn)健自適應(yīng)脈沖壓縮方法

doi: 10.11999/JEIT141631

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61002045, 61179017, 61102167)和山東省自然科學(xué)基金(2015ZRA06052)

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- 文章訪問(wèn)數(shù): 1267
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2014-12-20
- 修回日期: 2015-06-01
- 刊出日期: 2015-10-19

Robust Adaptive Pulse Compression Algorithm Based on Reiterative Linearly Constrained Minimum Variance

Funds:

The National Natural Science Foundation of China (61002045, 61179017, 61102167)

摘要

摘要: 針對(duì)常規(guī)自適應(yīng)脈沖壓縮方法在目標(biāo)散射點(diǎn)與采樣中心失配時(shí)旁瓣抑制性能下降的問(wèn)題，該文提出一種基于迭代線性約束最小方差(RLCMV)的自適應(yīng)脈沖壓縮方法。該方法首先將自適應(yīng)波束形成器算法引入到自適應(yīng)脈沖壓縮濾波器設(shè)計(jì)中。其次對(duì)目標(biāo)及干擾單元進(jìn)行線性約束，并用對(duì)角加載技術(shù)避免矩陣出現(xiàn)病態(tài)。最后構(gòu)造了迭代運(yùn)算方法，依次抑制不同大小目標(biāo)的距離旁瓣。仿真結(jié)果表明，該算法可以有效抑制散射點(diǎn)隨機(jī)分布目標(biāo)的距離旁瓣，對(duì)散射點(diǎn)與采樣中心失配情況具有較好的穩(wěn)健性，在多目標(biāo)及距離擴(kuò)展目標(biāo)場(chǎng)景中達(dá)到較好的旁瓣抑制性能，并在一定程度上提高了多普勒容性。
- 雷達(dá)信號(hào)處理 /
- 脈沖壓縮 /
- 旁瓣抑制 /
- 線性約束 /
- 多普勒容性
Abstract: In order to solve the problem of range side-lobes suppression performance degradation due to error between scatter and sample center of tradition methods, a new adaptive pulse compression algorithm based on Reiterative Linearly Constrained Minimum Variance (RLCMV) is presented in this paper. Firstly, adaptive beamformer is introduced into adaptive pulse compression. Then, linearly constraint is forced on range bins of target and interference, and diagonal loading techniques are applied. Finally, reiterative method is presented to suppress the side-lobe of target in range of different Radar Cross Section (RCS). Simulation results show that this algorithm can effectively suppress side-lobes of scatters random distributed in range bin, and it is robust to error between scatters and sample center. It keeps excellent performance even in multi-targets and range- extended target scenario, and improves performance of high Doppler target to a certain extend.
- Radar signal processing /
- Pulse compression /
- Side-lobes suppression /
- Linear constrain /
- Doppler performance

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