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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.
Update : 2008-10-13 Size : 8.14kb Publisher : 任进

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.
Update : 2025-02-19 Size : 8kb Publisher : alan

DL : 0
The radar equation and plot of SNR versus range
Update : 2025-02-19 Size : 1kb Publisher : kurt

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”
Update : 2025-02-19 Size : 4.55mb Publisher : Rakesh

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
Update : 2025-02-19 Size : 1kb Publisher : 小屯

DL : 0
it calculates the range of radar using radar range equation.
Update : 2025-02-19 Size : 10kb Publisher : faran

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
Update : 2025-02-19 Size : 1kb Publisher : ding

雷达作用距离仿真,雷达标准形式方程仿真。搜索条件下雷达方程仿真;跟踪条件下雷达方程仿真;杂波条件下雷达方程仿真;大气衰减条件下雷达方程仿真;-Radar range simulation, radar simulation standard form equation. Radar equation simulation under search criteria tracking radar equation simulation under conditions radar equation simulation clutter conditions under conditions of atmospheric attenuation radar equation simulation
Update : 2025-02-19 Size : 1kb Publisher : yinchuan

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 equation simulation program, including the basic radar range equation, radar energy equation, pulse compression processing)
Update : 2025-02-19 Size : 1.97mb Publisher : fxzn2006

DL : 0
Simulate LFM Radar range equation MATLAB script for FMCW radar
Update : 2025-02-19 Size : 12.54mb Publisher : Ost

Radar range equation MATLAB script for FMCW radar S-band
Update : 2025-02-19 Size : 6.18mb Publisher : Ost

Radar range equation MATLAB script for FMCW radar S band
Update : 2025-02-19 Size : 1.86mb Publisher : Ost

Radar range equation MATLAB script for FMCW radar
Update : 2025-02-19 Size : 5.67mb Publisher : Ost

DL : 0
Radar range equation FMCW radar
Update : 2025-02-19 Size : 70kb Publisher : Ost

DL : 1
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.)
Update : 2025-02-19 Size : 18kb Publisher : ioeyoyo
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