基于改進時頻分析方法的天波雷達機動目標檢測算法研究
doi: 10.11999/JEIT141485
基金項目:
國家自然科學基金(61101172, 61371184, 61201280, 61101173)和中央高?;究蒲袠I(yè)務費(ZYGX2014J021)
Maneuvering Target Detection Algorithm Based on Improved Time-frequency Analysis Method in Skywave Radar
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摘要: 在天波超視距雷達(OTHR)中,基于時頻分析技術的機動目標檢測算法具有信噪比要求低和參數(shù)估計精度高等優(yōu)點。但是傳統(tǒng)的時頻分析方法計算量大,難以滿足實際工程應用需要。針對該問題,該文提出一種新的時頻分析方法,該方法構造時間-頻率變化率的聯(lián)合域并沿時間軸進行積分實現(xiàn)機動目標的檢測和參數(shù)估計。由于該算法積分路徑的特殊性,可以避免使用Hough變換,進而減小算法計算量,使其滿足實際工程需要。仿真結果表明,該算法在低信噪比(SNR)下檢測效果好,運算量低,且具有更高的參數(shù)估計精度;此外,該算法對不同時刻的頻率變化率成分進行了積累,有效抑制了多機動目標引起的交叉項,避免了虛假目標的出現(xiàn)。Abstract: In Over-The-Horizon Radar (OTHR), the maneuvering target detection algorithms based on time- frequency analysis methods have the advantage of low signal to noise ratio requirement and high parameter estimation precision. However, the calculation amount of traditional time-frequency analysis methods is large and it is difficult to meet the requirement of engineering application. To solve this problem, this paper proposes a new time-frequency analysis method by constructing the joint time-frequency rate domain and calculating the integral value along the time axis to achieve maneuvering target detection and parameter estimation. Due to the special integral path, the proposed algorithm avoids the use of Hough transform. It can reduce the computation amount and make it meet the practical requirement. Simulation results show that the algorithm achieves better detection effect in low SNR, lower computation complexity and higher estimation accuracy. In addition, the frequency rate is accumulated according to different time, so it can suppress cross terms caused by multiple maneuvering targets and reduce false alarm rate.
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