一種改進(jìn)的基于峰值信噪比-高階奇異值分解的天波超視距雷達(dá)自適應(yīng)海雜波抑制算法

關(guān)澤文; 陳建文; 鮑拯

doi:10.11999/JEIT180707

一種改進(jìn)的基于峰值信噪比-高階奇異值分解的天波超視距雷達(dá)自適應(yīng)海雜波抑制算法

doi: 10.11999/JEIT180707 cstr: 32379.14.JEIT180707

空軍預(yù)警學(xué)院 ??武漢 ??430019

基金項(xiàng)目: 國(guó)家自然科學(xué)基金(61471391)

詳細(xì)信息

作者簡(jiǎn)介:
關(guān)澤文：男，1989年生，博士生，研究方向?yàn)樘觳ǔ暰嗬走_(dá)信號(hào)處理研究

陳建文：男，1964年生，教授，博士生導(dǎo)師，研究方向?yàn)樘觳ǔ暰嗬走_(dá)信號(hào)處理、機(jī)載預(yù)警雷達(dá)信號(hào)處理、陣列信號(hào)處理等研究

鮑拯：男，1977年生，博士，講師，研究方向?yàn)樘觳ǔ暰嗬走_(dá)信號(hào)處理、陣列信號(hào)處理等研究

通訊作者:
陳建文　cjwll8217@163.com

中圖分類號(hào): TN958.93
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出版歷程
- 收稿日期: 2018-07-16
- 修回日期: 2019-01-17
- 網(wǎng)絡(luò)出版日期: 2019-01-31
- 刊出日期: 2019-07-01

A Modified Adaptive Sea Clutter Suppression Algorithm Based on PSNR-HOSVD for Skywave OTHR

Wuhan Early Warning Academy, Wuhan 430019, China

Funds: The National Natural Science Foundation of China (61471391)

摘要

摘要: 天波超視距雷達(dá)(OTHR)艦船目標(biāo)的檢測(cè)性能受目標(biāo)區(qū)海雜波的影響嚴(yán)重，準(zhǔn)確且自適應(yīng)的海雜波抑制效能對(duì)改善低可探測(cè)艦船目標(biāo)的檢測(cè)性能意義重大。該文針對(duì)基于高階奇異值分解(HOSVD)的海雜波抑制算法非自適應(yīng)機(jī)制的不足，通過(guò)引入峰值信噪比(PSNR)，提出一種改進(jìn)的基于PSNR-HOSVD的自適應(yīng)算法。該算法僅利用第3等效模式展開矩陣的左奇異向量構(gòu)造一個(gè)投影矩陣，相比于HOSVD算法，該文算法可有效降低計(jì)算復(fù)雜度，同時(shí)由于海雜波僅在第3等效模式展開矩陣的列空間中具有聚集特性，因此該文算法具有比HOSVD算法更好的海雜波抑制性能。實(shí)測(cè)數(shù)據(jù)處理結(jié)果表明，在電離層狀態(tài)理想和非理想的情況下，該文PSNR-HOSVD自適應(yīng)算法的性能均優(yōu)于EVD自適應(yīng)算法和HOSVD非自適應(yīng)算法。
- 天波超視距雷達(dá) /
- 海雜波抑制 /
- 峰值信噪比 /
- 高階奇異值分解
Abstract: The detection performance of ship targets by skywave Over-The-Horizon Radar (OTHR) is affected by the sea clutter seriously. Accurate and adaptive suppression of sea clutter is significant for improving the detection performance of ship target. To solve the non-adaptive shortness of the sea clutter suppression algorithm based on High-Order Singular Value Decomposition (HOSVD), a modified adaptive algorithm based on Peak Signal-to-Noise Ratio (PSNR)-HOSVD is proposed by introducing the PSNR. The modified algorithm has a smaller computational complexity than the one based on HOSVD, since only one projection matrix is established from the left singular vectors of the third-mode unfolding matrix. Meanwhile, the modified algorithm has a better performance than the HOSVD based one, because the components of sea clutter are only aggregated in the column space of the third-mode unfolding matrix. Experimental results based on two sets of measured data received in ideal and non-ideal situations in respective show that, the modified adaptive algorithm based on PSNR-HOSVD has a better performance than the peer algorithms.
- Skywave Over-The-Horizon Radar (OTHR) /
- Sea clutter suppression /
- Peak Signal-to-Noise Ratio (PSNR) /
- High-Order Singular Value Decomposition (HOSVD)

HTML全文

圖 1 張量${\cal{\text{Y}}}$和其第3等效模式展開矩陣${{\text{Y}}_{(3)}}$的結(jié)構(gòu)

下載: 全尺寸圖片幻燈片

圖 2 電離層狀態(tài)理想時(shí)實(shí)測(cè)數(shù)據(jù)通道3處理前后的距離多普勒譜

下載: 全尺寸圖片幻燈片

圖 3 存在不同輸入SCNR的低可探測(cè)艦船目標(biāo)時(shí)3種算法的ISCNR

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圖 4 通道1處理前的距離多普勒譜

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圖 5 各空間分辨單元與目標(biāo)所在分辨單元的相關(guān)系數(shù)

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圖 6 電離層狀態(tài)非理想時(shí)實(shí)測(cè)數(shù)據(jù)通道1處理后的距離多普勒譜

下載: 全尺寸圖片幻燈片

圖 7 電離層狀態(tài)非理想時(shí)艦船目標(biāo)所在分辨單元處理前后的多普勒譜

下載: 全尺寸圖片幻燈片

表 1 實(shí)驗(yàn)1各艦船目標(biāo)參數(shù)

序號(hào)	1	2	3	4	5	6
距離分辨單元	8	10	12	24	35	38
多普勒頻率(Hz)	–0.55	–0.88	–0.64	0.96	0.72	0.88
SCNR_in (dB)	–11.49	–28.31	–18.85	–24.75	–22.44	–19.24

下載: 導(dǎo)出CSV

表 2 電離層狀態(tài)理想時(shí)3種算法的處理結(jié)果中各艦船目標(biāo)的輸出SCNR和ISCNR (dB)

序號(hào)		1	2	3	4	5	6	均值
EVD算法	SCNR_out	3.94	–4.15	6.00	1.77	–0.32	1.76	1.50
EVD算法	ISCNR	15.43	24.16	24.85	26.52	22.12	21.00	22.35
HOSVD算法	SCNR_out	8.43	13.54	12.80	9.40	4.87	10.43	9.91
HOSVD算法	ISCNR	19.92	41.85	31.65	34.15	27.31	29.67	30.76
PSNR-HOSVD算法	SCNR_out	9.06	13.89	12.48	10.56	5.66	8.72	10.06
PSNR-HOSVD算法	ISCNR	20.55	42.20	31.33	35.31	28.10	27.96	30.91

下載: 導(dǎo)出CSV

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