基于动态规划和离散调频傅里叶变换的相参检测前跟踪算法

摘要

Aiming at the problem of the low computational efficiency of the coherent TBD ( Track-Before-Detect) algorithm based on velocity searching and DCFT ( Discrete Chirp-Fourier Transform) , a coherent TBD algorithm based on DP ( Dynamic Programming) and DCFT is proposed. In the proposed algorithm, the target echoes locating at different range cell and the azimuth cell are searched by the DP algorithm, which optimizes the searching procedure and improves computational efficiency. Simulation results show that compared with the traditional non-coherent DP-TBD algorithm, the performance of the proposed algo-rithm improves 1 . 6 dB for 90% detection probability;compared with the coherent TBD algorithm based on velocity searching and DCFT, the computational efficiency of the proposed algorithm improves 3. 6 times.%针对基于速度搜索和离散调频傅里叶变换( DCFT)的多帧相参积累检测前跟踪( TBD)算法运算效率低的问题，提出了一种基于动态规划( DP)和DCFT的多帧相参积累TBD算法。该算法利用DP算法搜索位于不同距离单元和方位单元的目标回波，极大地优化了搜索过程，提高了运算效率。仿真实验表明，与传统非相参积累DP-TBD算法相比，在检测概率90%处，所提算法有1.6 dB的提高；与基于速度搜索和DCFT的多帧相参积累TBD算法相比，所提算法运算效率提高了3.6倍。