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AESA is not magic, its just more range, more jam resistant, faster scan, multitask, more reliability...Guys, AESA isn't magic. Traditional radars like the APG-63 mechanically-scanned have blown a lot of airplanes out of the skies over the years, and will continue to do so for decades despite AESA technology.
Not.Does it mentioned whether it is Silent Eagle or not?
1. APG-63(v)3 + AIM-120C/7 - boosting BVR air-air capabilities.I can't see anything new or special on the list for those huge amount!!!
The parallel importance and dependency between the transmitting mechanism (antenna) and the data processing capability (computer) cannot be understated. Currently, the technology bias is in favor of the computer, meaning there is -- and has been for decades -- an excess of data processing capability for every design, be it for air traffic control or airborne detection. The initial perception is that for airborne platform, resource limitations, from internal space to electrical, are the reasons why there is a great capability discrepancy between the AWACS class and the 'fighter' class. That said...In reality and in details, and the devil lives in details, the 'single-beam' limitation in the classical antenna, be it concave dish or planar array, is the primary determinant on how much data processing capability is installed into the entire design. If the need is great even the small F-16 has enough internal space to house a more capable computer and its electrical system is more than sufficient to power that computer.Guys, AESA isn't magic. Traditional radars like the APG-63 mechanically-scanned have blown a lot of airplanes out of the skies over the years, and will continue to do so for decades despite AESA technology.AESA is not magic, its just more range, more jam resistant, faster scan, multitask, more reliability...I didn't say AESA wasn't better, I said it's not magic. There is an implication that any fleet of AESA-equipped fighters will somehow become invincible if the opposition only has a "lowly" mechanically-scanned system.
Contemporary signal processing combined with phased array technology using digital beamforming enables development of an important new radar system class that provides continuous and uninterrupted multifunction capability within a coverage volume. The central idea of Ubiquitous Radar is to look everywhere all of the time. The concept requires illuminating a wide coverage volume while continuously receiving signals from a pincushion of narrow beams filling the volume. There are no gaps either in coverage space or in time, so that all targets can be detected at the earliest time and tracks initiated. Conceptually this technology can combine surveillance, tracking and weapon control. Continuous coverage from close-in pop-up targets in clutter to long-range targets impacts selection of waveform parameters.
Ground stations or AWACS type radar platforms do not have the same physical limitations as the smaller fighter-type aircrafts. Advances in computing power moved the 'ubiquitous radar' out of the conceptual stage and into the financial stage. This level of observance and awareness, or 'omnipotence' in a manner of speaking, is possible only with an ESA system.The primary advantage of a AESA over a PESA is that the different modules can operate on different frequencies. Unlike the PESA, where the signal was generated at single frequencies by a small number of transmitters, in the AESA each module broadcasts its own independent signal. This allows the AESA to produce numerous "sub-beams" and actively "paint" a much larger number of targets. Additionally, the solid-state transmitters are able to broadcast effectively at a much wider range of frequencies, giving AESAs the ability to change their operating frequency with every pulse sent out. AESAs can also produce beams that consist of many different frequencies at once, using post-processing of the combined signal from a number of TRMs to re-create a display as if there was a single powerful beam being sent.
To date, the greatest threats to US 'stealth' class aircrafts are bi-static radars and this 'track-before-detect' feature made possible with an ESA system. Bi-static radars are proven concepts and systems but they are structurally demanding, requirements are multiple stations that should remain stationary for long periods of time, thereby making them vulnerable to attacks, and precise synchronization between stations down to the pico-seconds level, in order to be effective. This requirement renders most militaries out of the race in 'stealth' detection, ground or airborne. This leaves the 'track-before-detect' feature.The CPI (coherent processing interval) must be long enough to achieve a signal-to-noise ratio significantly above 0 dB in order to efficiently perform non-coherent integration. The approach, sometimes termed track-before-detect then accounts for range-walk and Doppler-slide to achieve a specified detection probability.
Coherent vs. Non-Coherent Integration
Coherent integration gain is the effect obtained by increasing the length of time during which a coherent signal is observed. An example is the 3 dB gain in SNR experienced by doubling the observation time of a CW signal (most easily viewed by looking at spectral estimates of increasing lengths -- 128 samples to 256 samples to 512 samples, etc). To obtain coherent integration gain, the signal must itself be coherent (i.e., occupy a small fraction of the analysis bandwidth).
Non-coherent integration gain is the effect obtained by averaging together signal estimates taken during successive time slices, each having the same, fixed length. An example is the averaging of spectral estimates by performing point-by-point summation of the power in identical frequency bins, which smooths out the noise variance, but does not actually increase the SNR itself. A similar effect is observed when averaging together successive radar power returns point-by-point in identical range bins.
In radar technology and similar fields, track-before-detect (TBD) is a concept according to which a signal is tracked before declaring it a target. In this approach, the sensor data about a tentative target are integrated over time and may yield detection in cases when signals from any particular time instance are too weak against clutter (low signal-to-noise ratio) to register a detected target.
In radar systems, detection performance is always related to target models and background environments. In "time diversity systems", the assumed Swerling complete correlation (slow fluctuation) and complete decorrelation (fast fluctuation) target models may not predict the actual system performance when the target returns are partially correlated. The probability of detection is shown to be sensitive to the degree of correlation among the received pulses. In this paper, we derive exact expressions for the probability of false alarm (Pfa) and the probability of detection (Pd) of a pulse-to-pulse partially correlated target with 2K degrees of freedom in a pulse-to-pulse completely decorrelated thermal noise for the order statistics constant false alarm rate (OS-CFAR) detector and the censored mean level CFAR (CMLD-CFAR). The complete analysis is carried out for the "non-conventional time diversity system" (NCTDS) and multiple target situations. The obtained results are compared with the detection performance of the "conventional time diversity system" (CTDS).