Fig. 7
From: Dynamic programming network for point target detection
The distributions of different merit functions of the test case 2. a, d, g, j Distributions of merit functions with sequential accumulation at time t = 50; b, e, h, k distributions of merit functions with reverse accumulation at time t = 50; c, f, i, l distributions of averaged merit functions with sequential accumulation and reverse accumulation at time t = 50; a–c the calculation results of the CFO-DPR; d–f the calculation results of the CSO-DPR; g–i the calculation results of the MFF-DPR; j–l the calculation results of the DPRN in \(K = 4\) velocity subspaces; the basic unit length of the DPRN is L = 20. The sequence length is N = 100, the point target is SNR = 1.5