Multi-dimensional multi-targets detection and interference suppression with DSLA (Double Spiral Line Array)

With the increase of vehicles in the ocean and the gradual expansion of the scope of ocean observation, the level and intensity of interference which is similar to the targets is much greater than the targetsignal. The traditional methods of target detection and interference suppression will make the target signals lower but they cannot suppress the interference completely. In order to solve the problem of multi-target detection and interference suppress effectively, a new idea is presented in this paper. This is that, through exploitation of the observed freedom degrees (space-time-spectrum), joint estimation of multi-dimensional parameters are used to discriminate each target/interference in high dimensional space. Thus, the new idea can discern multi-targets and interference through resolution in terms of a multi-dimensional approach. Targets/interference in high dimensional space are discrete, so this suggestion can also achieve the purpose of multi-target detection and interference suppression. In order to achieve multi-dimensional joint estimation, it is necessary to consider high-reliablity resolution of each basic unti dimension, so design of the array is particularly important. A DSLA (Double Spiral Line Array) is an ideal broadband-space array, because it has simple and regular three-dimensional space structure and a complex array spatial distribution. The joint estimation of multi-dimensional state parameters using highly complex spatial distribution is beneficial to the method of multi-dimensional targets and interference resolution. This paper, demonstrates the feasibility of the new idea by discussing the space-wavenumber spectrum in theory and by analyzing the characteristics of high-reliability resolution of DSLA, centered on the detection and interference suppression of multi-targets through joint estimation of multi-dimensional parameters. Furthermore, computer simulation on discriminating multi-targets and interference with multi-dimension method is given.