In the reconstruction of high resolution (HR) images from low resolution (LR) image frames, the accuracy in the
inter-frame motion estimation is a critical factor. With a motivation that motion estimated over the reconstructed
HR frames would have higher accuracy, several attempts have been made to perform motion estimation and HR
reconstruction simultaneously. In this paper, we propose a HR reconstruction method, in which a regularized
block matching for motion estimation and POCS-based reconstruction are performed in turns. In experimental
results, regularized block matching produces reliable motion estimation since the motion of an image pixel is
highly correlated with the motion in neighboring region. The improved accuracy of the motion estimation results
in higher PSNR of the reconstructed HR images.
KEYWORDS: Error control coding, Computer programming, Computer simulations, Signal processing, Error analysis, Mobile communications, Algorithm development, Computer engineering, Data communications, Binary data
We present a constant amplitude multi-code (CAMC) CDMA in a recursive structure which has a built-in error correction capability. The PAPR of CAMC is very low since the amplitude has a constant value, which is accomplished at the cost of redundant bits for the precoding in CAMC. We show, however, that redundant bits in CAMC can be reconfigured into parity bits in a single parity check product code (SPCPC). An iterative decoding algorithm is presented which fully utilizes the parity bits of the reconfigured CAMC. Experimental results show that CAMC has a superior performance of error correction than a generic SPCPC.
KEYWORDS: Radar, Signal detection, Signal to noise ratio, Interference (communication), Target detection, Sensors, Information operations, Signal processing, Receivers, Binary data
Intelligent vehicles of the future will be guided by radars and other sensors to avoid obstacles. When multiple vehicles move simultaneously in autonomous navigational mode, mutual interference among car radars becomes a serious problem. An obstacle is illuminated with electromagnetic pulses from several radars. The signal at a radar receiver is actually a mixture of the self-reflection and the reflection of interfering pulses emitted by others. When standardized pulse- type radars are employed on vehicles for obstacle avoidance and so self-pulse and interfering pulses have identical pulse repetition interval, this SI (synchronous Interference) is very difficult to separate from the true reflection. We present a method of suppressing such a synchronous interference. By controlling the pulse emission of a radar in a binary orthogonal ON, OFF pattern, the true self-reflection can be separated from the false one. Two range maps are generated, TRM (true-reflection map) and SIM (synchronous- interference map). TRM is updated for every ON interval and SIM is updated for every OFF interval of the self-radar. SIM represents the SI of interfering radars while TRM keeps a record of a mixture of the true self-reflection and SI. Hence the true obstacles can be identified by the set subtraction operation. The performance of the proposed method is compared with that of the conventional M of N method. Bayesian analysis shows that the probability of false alarm is improved by order of 103 to approximately 106 while the deterioration in the probability of detection is negligible.
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