Description: describes the most common terms used in radarsystems, such as range, range resolution, Doppler frequency, and coherency.
The second part of this chapter develops the radar range equation in many of its forms. This presentation includes the low PRF, high PRF,search, bistatic radar, and radar equation with jamming.-describes the most common terms used in rad arsystems, such as range, range resolution, Doppler frequency, and coherency. The second part of this chapter d evelops the radar range equation in many of its f orms. This presentation includes the low PRF. high PRF, search, bistatic radar, and radar equation with jamming. Platform: |
Size: 8332 |
Author:任进 |
Hits:
Description: describes the most common terms used in radarsystems, such as range, range resolution, Doppler frequency, and coherency.
The second part of this chapter develops the radar range equation in many of its forms. This presentation includes the low PRF, high PRF,search, bistatic radar, and radar equation with jamming.-describes the most common terms used in rad arsystems, such as range, range resolution, Doppler frequency, and coherency. The second part of this chapter d evelops the radar range equation in many of its f orms. This presentation includes the low PRF. high PRF, search, bistatic radar, and radar equation with jamming. Platform: |
Size: 8192 |
Author:alan |
Hits:
Description: Radar Systems Analysis and Design Using MATLAB
by Bassem R. Mahafza
Chapter 1
Radar Fundamentals
1.1. Radar Classifications
1.2. Range
MATLAB Function “pulse_train.m”
1.3. Range Resolution
MATLAB Function “range_resolution.m”
1.4. Doppler Frequency
MATLAB Function “doppler_freq.m”
1.5. Coherence
1.6. The Radar Equation
MATLAB Function “radar_eq.m”
1.6.1. Low PRF Radar Equation
MATLAB Function “lprf_req.m”
1.6.2. High PRF Radar Equation
MATLAB Function “hprf_req.m”
1.6.3. Surveillance Radar Equation
MATLAB Function “power_aperture_eq.m”
1.6.4. Radar Equation with Jamming
Self-Screening Jammers (SSJ)
MATLAB Program “ssj_req.m”
Stand-Off Jammers (SOJ)
MATLAB Program “soj_req.m”
Range Reduction Factor
MATLAB Function “range_red_fac.m” Platform: |
Size: 4774912 |
Author:Rakesh |
Hits:
Description: 雷达方程仿真程序，包括基本的雷达距离方程，雷达能量方程，脉冲压缩处理等-radar function simulation code, including basic radar range function, radar power function, pulse compress processing-The radar equation simulation program, including basic radar range equation, radar energy equation, pulse compression processing-radar function simulation code, including basic radar range function, radar power function, pulse compress processing Platform: |
Size: 1024 |
Author:小屯 |
Hits:
Description: 用基于GUI的MATLAB完成雷达距离方程计算-Complete calculation of the radar range equation with a GUI-based MATLAB Platform: |
Size: 1024 |
Author:ding |
Hits:
Description: Over-the-horizon radar (OTHR) exploits skywave propagation
of high-frequency signals to detect and track targets,
which are different from the conventional radar. It
has received wide attention because of its wide area surveillance,
long detection range, strong anti-stealth ability,
the capability of the long early warning time, and so on.
In OTHR, a significant problem is the effect of multipath
propagation, which causes multiple detections via
different propagation paths for a target with missed detections
and false alarms at the receiver [1–6]. Nevertheless,
the conventional tracking algorithms, such as
probabilistic data association (PDA) [7–9], presume that
a single-measurement per target, it may consider the
other measurements of the same target as clutter, and
multiple tracks are produced when a single target is
present. Therefore, these methods cannot effectively
solve the multipath propagation problem.(Conventional multitarget tracking systems presume that each target can produce at most one measurement
per scan. Due to the multiple ionospheric propagation paths in over-the-horizon radar (OTHR), this assumption is
not valid. To solve this problem, this paper proposes a novel tracking algorithm based on the theory of finite set
statistics (FISST) called the multipath probability hypothesis density (MP-PHD) filter in cluttered environments.
First, the FISST is used to derive the update equation, and then Gaussian mixture (GM) is introduced to derive
the closed-form solution of the MP-PHD filter. Moreover, the extended Kalman filter (EKF) is presented to deal
with the nonlinear problem of the measurement model in OTHR. Eventually, the simulation results are provided
to demonstrate the effectiveness of the proposed filter.) Platform: |
Size: 18432 |
Author:ioeyoyo |
Hits:
Search - radar range equation