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Poster Sessions
  • Session 1
  • Session 2
  • Session 3
  • Session 4
  • Session 5
  • Session 6



  • ACRS 1999


    Poster Session 2
    Issues on the Design of China Imaging Altimeter (CIALT)

    2. Baseline design
    The length of baseline should be optimized with S/N, imaging looks and geometrical design difficulty. We know that for the two antenna interferometric system (with a horizontal baseline), the correlation between the echoes received by two antennae decreases as the baseline increases. When the baseline equals BC , the correlation becomes zero[8].


    Where Ry is the ground range resolution. Baseline length can be optimized according to the relation between the phase uncertainty ( ef ) and signal to noise ratio (SNR) and number of looks (NL)[9]:


    Where g is decorrelation coefficient.

    In practice, the baseline length B is chosen about 0.1 to 0.2 times of BC trading off the sensitivity of phase measurement and the engineering complexity in realizing the interferometric system. In our design, the length of baseline B is three meters.

    3. Observation angle


    Fig.3 The average return response of a rectangular pulse with nadir looking



    Fig.4 The average return response of a rectangular pulse with off-nadir 2° looking

    The observation angle should be designed compatible with the accuracy of significant wave height, range resolution and the length of baseline. In ocean observation, when the antenna is nadir looking, the echo model can be described using Brown’s Model. If the antenna is off-nadir looking for a small angle, the Brown’s Model is still appropriate to use after making some modifications. From equation (1), one can see that, the larger the off nadir looking angle, the longer the length of baseline is needed under the same slope range, however, the higher ground range resolution and the wider swath can be achieved.

    Above all, the off nadir angle is better in the range of several degrees. In our design, 2° off nadir angle is used.

    Fig. 3 indicates the average return response of a rectangular pulse with nadir looking and Fig. 4 indicates he average return response of a rectangular pulse with off nadir 2° looking. Comparing these two figures, one can see, the return shapes are quite different. In the off-nadir case, the discrimination between echo shapes at small SWH is not as clear as that of nadir case.

    4. PRF design
    PRF is very important for constraining the azimuthal and range ambiguity, not loosing Doppler information, and lowering down the data rate.

    In our system design, the observation angle is very small, and the swath is also very narrow compared with conventional SAR system, so the range ambiguity is not serious. We can select PRF simply according to the following equation:

    fd<PRF<c/2(Rmax-Rmin)      (4)

    Where Rmin and Rmax are the near slope range and far slope range.

    5. Signal bandwidth
    The wider the transmitted signal bandwidth, the higher the accuracy in range measurement, but the narrower the tracking scope. Therefor according to the different surface characteristics of ocean, oceanic ice and land, the bandwidth should be different. In CIALT, three bandwidths is used, they are 320MHz, 80MHz and 20MHz respectively. These three chirps are generated digitally, so the change of bandwidth according to different surface is easy to realize.

    6. Compression in range direction
    Full-deramp technique and matched filtering technique can be used to complete range compression, but they are fit to different cases. In CIALT, high speed A/D and matched filter is involved.

    7. Compression in azimuth direction
    Focused or unfocused processing should be selected according to the resolution requirement, complexity of system, and the operational height of platform. In CIALT, unfocused processing is enough to meet the design goal.

    8. Tracking Algorithm
    In order to be able applied to ocean, oceanic ice and land altogether, model-free tracker should be designed. Tracking algorithm based on offset center of gravity (OCOG) can meet the requirement of model-free tracker. In this algorithm, the height error is linear across the entire range window and it is independent of pulse shape. In OCOG algorithm, there are only two parameters to be estimated from echo profile, i.e. pulse amplitude, A, and the pulse width W. According to them, errors signals which control height and gain loops are generated. When this error become large and the echo will be outside the tracking window, so the altitude resolution will be degraded. This results in the broadening of tracking window to capture the echo again.

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