The phrase "achieve clutter" is not correct and does not convey a clear meaning in written English.
It may be intended to express the idea of creating or accumulating clutter, but the wording is awkward and unclear.
Example: "If you don't organize your workspace, you will achieve clutter that makes it hard to focus."
Alternatives: "create clutter" or "accumulate clutter".
In this section, we present a novel method, i.e., RBCNS, to achieve clutter suppression for bistatic airborne radar with range ambiguity.
However, considering that m-sequences have a quasi-balanced number of "+1" and "-1," i.e., their number differs no more than 1, one option to achieve clutter removal is to lengthen the code by one symbol so that the resulting code had a zero mean.
The gradual decline of drop shadows, textures, embellishments and photographic logos are all intended to reduce screen clutter and achieve one end: higher data entry speeds.
That detector can eliminate the influence of nonstationary part of sea clutter and achieve better detection performance.
To achieve a CFAR detector, clutter parameter approximations are then introduced, and the cost associated with this is then analysed.
Theoretical analysis and simulation results are presented to validate that the F ΣΔ DPCA can achieve superior performance of clutter cancellation than the time domain processing, and its performance can be significantly increased if more pulses are used for the Doppler filtering.
On the other hand, since some unqualified training samples should be removed, the GIP algorithm cannot achieve an acceptable performance of clutter suppression when the number of training samples is deficient.
In order to achieve full adaptivity to the clutter, generally the radar system has to undergo a multiple-A/D (hardware) upgrade where a number of sampled data streams are made available.
For more complex radar configurations, such as overlapping uniform linear subarrays [18], distorted linear and bistatic arrays [19], arbitrary arrays [20], and sparse arrays [21], clutter DOFs are achieved by considering the space time clutter as an equivalent time-limited sampling of a spatial-frequency band-limited random process.
More adjacent main lobe beams will achieve a good estimation of the clutter subspace in the joint domain.
A single A/D-based software solution (numerically stable, robust) is proposed to achieve the full sidelobe adaptation to clutter.
