Phase-wrapping ambiguity in along-track interferometry

被引:2
作者
Deming, Ross [1 ]
Ilin, Roman [1 ]
Best, Matthew [1 ]
机构
[1] Solid State Sci Corp, Hollis, NH 03049 USA
来源
ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY XX | 2013年 / 8746卷
关键词
Radar signal processing; along-track interferometry; ground moving target indication; GMTI; DPCA; ATI;
D O I
10.1117/12.2015231
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In a previous SPIE paper we described several variations of along-track interferometry (ATI), which can be used for moving target detection and geo-location in clutter. ATI produces a phase map in range/Doppler coordinates by combining radar data from several receive channels separated fore-and-aft (along-track) on the sensor platform. In principle, the radial velocity of a moving target can be estimated from the ATI phase of the pixels in the target signature footprint. Once the radial velocity is known, the target azimuth follows directly. Unfortunately, the ATI phase is wrapped, i.e., it repeats in the interval [-pi, pi], and therefore the mapping from ATI phase to target azimuth is non-unique. In fact, depending on the radar system parameters, each detected target can map to several equally-likely azimuth values. In the present paper we discuss a signal processing method for resolving the phase wrapping ambiguity, in which the radar bandwidth is split into a high and low sub-band in software, and an ATI phase map is generated for each. By subtracting these two phase maps we can generate a coarse, but unambiguous, radial velocity estimate. This coarse estimate is then combined with the fine, but ambiguous estimate to pinpoint the target radial velocity, and therefore its azimuth. Since the coarse estimate is quite sensitive to noise, a rudimentary tracker is used to help smooth out the phase errors. The method is demonstrated on Gotcha 2006 Challenge data.
引用
收藏
页数:13
相关论文
共 10 条
  • [1] [Anonymous], 2008, INT S INTELLIGENT UN
  • [2] [Anonymous], 2009, P SPIE
  • [3] [Anonymous], 2005, FUNDAMENTALS RADAR S
  • [4] Budillon A., 2008, International Journal of Navigation and Observation, V2008
  • [5] Three-channel processing for improved geo-location performance in SAR-based GMTI interferometry
    Deming, Ross W.
    MacIntosh, Scott
    Best, Matthew
    [J]. ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY XIX, 2012, 8394
  • [6] Along-Track Interferometry for Simultaneous SAR and GMTI: Application to Gotcha Challenge Data
    Deming, Ross W.
    [J]. ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY XVIII, 2011, 8051
  • [7] Space-time processing for multichannel synthetic aperture radar
    Ender, JHG
    [J]. ELECTRONICS & COMMUNICATION ENGINEERING JOURNAL, 1999, 11 (01): : 29 - 38
  • [8] INTERFEROMETRIC RADAR MEASUREMENT OF OCEAN SURFACE CURRENTS
    GOLDSTEIN, RM
    ZEBKER, HA
    [J]. NATURE, 1987, 328 (6132) : 707 - 709
  • [9] Muehe C. E., 2000, Lincoln Laboratory Journal, V12, P281
  • [10] Stimson G.W., 1998, INTRO AIRBORNE RADAR, VSecond