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

關澤文; 陳建文; 鮑拯

doi:10.11999/JEIT180707

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

doi: 10.11999/JEIT180707

空軍預警學院 ??武漢 ??430019

基金項目: 國家自然科學基金(61471391)

詳細信息

作者簡介:
關澤文：男，1989年生，博士生，研究方向為天波超視距雷達信號處理研究

陳建文：男，1964年生，教授，博士生導師，研究方向為天波超視距雷達信號處理、機載預警雷達信號處理、陣列信號處理等研究

鮑拯：男，1977年生，博士，講師，研究方向為天波超視距雷達信號處理、陣列信號處理等研究

通訊作者:
陳建文　cjwll8217@163.com

中圖分類號: 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(OTHR)艦船目標的檢測性能受目標區(qū)海雜波的影響嚴重，準確且自適應的海雜波抑制效能對改善低可探測艦船目標的檢測性能意義重大。該文針對基于高階奇異值分解(HOSVD)的海雜波抑制算法非自適應機制的不足，通過引入峰值信噪比(PSNR)，提出一種改進的基于PSNR-HOSVD的自適應算法。該算法僅利用第3等效模式展開矩陣的左奇異向量構造一個投影矩陣，相比于HOSVD算法，該文算法可有效降低計算復雜度，同時由于海雜波僅在第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。實測數(shù)據(jù)處理結果表明，在電離層狀態(tài)理想和非理想的情況下，該文PSNR-HOSVD自適應算法的性能均優(yōu)于EVD自適應算法和HOSVD非自適應算法。
- 天波超視距雷達 /
- 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${{\text{Y}}_{(3)}}$的結構

下載: 全尺寸圖片幻燈片

圖 2 電離層狀態(tài)理想時實測數(shù)據(jù)通道3處理前后的距離多普勒譜

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圖 3 存在不同輸入SCNR的低可探測艦船目標時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所在分辨單元的相關系數(shù)

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圖 6 電離層狀態(tài)非理想時實測數(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)非理想時艦船目標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 實驗1各艦船目標參數(shù)

序號	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: 導出CSV

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

序號		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: 導出CSV

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