Target detection of RADAR deals with different and manifold problems over few decades. The detection capability is one of the most significant factors in RADAR system. The main aim of detection is to increase probability of detection while decreasing rate of false alarm. The threshold of detection is modified as a function of the receiver noise level to keep a fixed rate of false alarm. Constan...

[1] Analysis of 412 solar radio burst events in the microwave range [1.2--18] GHz that were measured at the New Jersey Institute of Technology Owens Valley Solar Array over 2 years (2001--2002) during the peak of the 23rd solar cycle is conducted in the context of the possible interference of such bursts with radio-receiving and radar systems that operate at these frequencies. It is found that ...

In this paper, we consider the problem of coherent multiple-input multiple-output radar receive filter design. If the transmitted radar waveforms do not have the desired ideal autoand cross-correlation properties, the signal at the output of a matched filter (MF) can suffer severe interference due to targets in neighboring range-Doppler bins. Existing receive filter design approaches, e.g., ins...

Ground penetrating radar (GPR) is a widely used sensor for land mine detection. However, GPR signal return is very susceptible to ground bounce and reflection of clutter objects, which makes the detection a difficult problem to date. In this paper, we propose to utilize two-sided linear prediction (LP) to model the background interference and then employ the residue energy to generate the test ...

We address the problem of detecting slow moving targets from a moving radar system using spacetime adaptive processing (STAP) techniques. Optimum interference rejection requires the estimation and the inversion of an interference-plus-noise covariance matrix. To reduce the number of samples involved in the estimation and the computational cost inherent to the inversion, many suboptimum STAP tec...

The large expected increase in the capacity requirements raises not only technical issues but also regulatory and business challenges. One of the key methods to increase the capacity of mobile networks in a cost efficient way is to find additional frequency spectrum. However, it is a difficult task since most of the spectrum is already allocated in long-term basis. Therefore, innovation in the ...

To adapt to the complex and changeable electromagnetic environment of radar detection, improve jamming effect on frequency-agile low probability intercept radar, solve problem poor caused by intra-pulse lagging behind target signal, a Convolutional Neural Network—Deep Network waveform generation method, based prior global information is presented in this study. This proposed method uses two net...

Ultra-wideband radar-based penetrating detection and recognition of human activities has become a focus on remote sensing in various military applications in recent years, such as urban warfare, hostage rescue, and earthquake post-disaster rescue. However, an excellent micro-Doppler signature (MDS) extracting method of human motion with high time-frequency resolution, outstanding anti-interfere...