DOA estimation based on the improved direct data domain method with one sample

被引:0
|
作者
Xie H. [1 ,2 ]
Dang H. [1 ]
Tan X. [1 ]
Feng D. [2 ]
机构
[1] Xi'an Branch, China Academy of Space Technology, Xi'an
[2] National Laboratory of Radar Signal Processing, Xidian University, Xi'an
关键词
Direct Data Domain (D[!sup]3[!/sup]); DOA estimation; High-resolution; Small sample support; Sub-array sliding;
D O I
10.11999/JEIT151398
中图分类号
学科分类号
摘要
Many of the high-resolution Direction Of Arrival (DOA) estimation methods fail to estimate the DOAs of incoming signals and distinguish the two close signals under small sample support; especially only one snapshot is available. To handle this problem, a novel DOA method based on improved Direct Data Domain (D3) technique is proposed. The basic ideal of the proposed method is to augment the time domain samples by sacrificing the space domain degree. Firstly, by splitting the entire array into many overlapping sub-array, many low-dimension samples can be obtained. Secondly, utilizing the property of far-filed narrowband signal that its amplitude response on each array is the same, a new constraint is imposed. Experimental results indicate that the resolution of the propsed method is superior to the conventional algorithms. © 2016, Science Press. All right reserved.
引用
收藏
页码:2371 / 2376
页数:5
相关论文
共 15 条
  • [1] Krimand H., Viberg M., Two decades of array signal processing research: The parametric approach, IEEE Signal Processing Magazine, 13, 4, pp. 67-94, (1996)
  • [2] Sarkar T., Wang H., Shennyun P., Et al., A deterministic least-squares approach to space time adaptive processing (STAP), IEEE Transactions on Antennas and Propagation, 49, 1, pp. 91-103, (2001)
  • [3] Pillai S.U., Kim Y.L., Guerci J.R., Generalized forward/backward subaperture smoothing techniques for sample starved STAP, IEEE Transactions on Signal Processing, 48, 12, pp. 3569-3574, (2000)
  • [4] Choi W., Sarkar T.K., Minimum norm property for the sum of the adaptive weights for a direct data domain least squares algorithm, IEEE Transactions on Antennas and Propagation, 54, 3, pp. 1045-1050, (2006)
  • [5] Azarbar A., Dadashzadeh G., A new DOA estimation based on direct data domain algorithm, IEEE GCC Conference and Exhibition, pp. 205-208, (2011)
  • [6] Xing G., Cai Z., A sidelobe constraint direct data domain least square algorithm, 2nd International Congress on Image and Signal Processing, pp. 1-4, (2009)
  • [7] Burintramart S., Yilmazer N., Sarkar T.K., Multiple constraint space-time adaptive processing using Direct Data Domain Least Squares (D3LS) approach, IEEE National Radar Conference, pp. 768-771, (2007)
  • [8] Wicks M.C., Rangaswamy M., Adve R., Et al., Space-time adaptive processing: A knowledge-based perspective for airborne radar, IEEE Signal Processing Magazine, 23, 1, pp. 51-65, (2012)
  • [9] Xing G.X., Zhang W., Cai Z.M., Et al., Weighted direct data domain beamforming algorithm, Systems Engineering & Electronics, 31, 10, pp. 2323-2326, (2009)
  • [10] Yang Z.W., He S., Liao G.S., Et al., Direct data domain approach with space-time adasptive processing for arbitrary linear array, Acta Electronica Sinica, 39, 12, pp. 2900-2904, (2011)