Digital Binary Phase-shift Keyed Signal Detector

Abstract

A B S T R A C TWe have developed the effective algorithm for detecting digital binary phase-shift keyed signals. T his algorithm requires a small number of arithmetic operations over the signal period. It can be relatively easy implemented based on the modern programmable logic devices. It also provides h igh interference immunity by identifying signal presence when signal-to-noise ratio is much less that its working value in the receiving path. The introduced detector has intrinsic frequency selectivity and allows us to form the estimate of the noise level to realize the adaptive determination of decision threshold. In order to get confirmation of the detector operability and performance, we suggest the expressions for false alarm and missing probabilities. In addition, we have examine, both theoretically and experimentally, the influence of the detector parameters on its characteristics.

AIOSC: Analytical Integer Word-length Optimization Based on System Characteristics for Recursive Fixed-Point Linear Time Invariant Systems

“…L1-norm-based method (L1-norm) [5], in comparison to AIOSC. In the experiment, it is assumed that the primary inputs are non-symmetric over zero and lie within the range of [9,10]. The bit-widths estimations for primary outputs are depicted in Figure 4.…”

“…To have finiteprecision fixed-point implementations of such systems, range analysis (RA) is an essential and fundamental design step. The analysis characterizes the integer bitwidths (IB) for all the fixed-point variables such that no overflow and underflow occur [1][2][3][4][5][6][7][8][9][10].…”

“…In this paper, an analytical integer word-length optimization for recursive LTI systems is proposed. LTI systems are the most important category of DSP applications since they include finite-impulse response (FIR), infinite-impulse response (IIR) digital filters, and signal transformations such as Fast Fourier Transform, Discrete Cosine Transform, and Wavelet Transforms [9,10]. The method not only minimizes the hardware implementation cost, but also reduces the optimization time significantly.…”

Digital Root-mean-square Signal Meter

“…However, in this case, the problem of real-time measurement implementation takes place. In this paper, in order to overcome this difficulty, it is proposed to use the fast processing algorithm in the procedures described in [10,11]. The mathematical substantiation of the measuring procedure and the block diagram of the meter suitable for its software and hardware implementation are presented.…”

“…If N samples are available from signal i s , then the integral in (2) can be calculated by the method of rectangles as follows [13]: samples from the ADC output, and the measurement accuracy will increase with N. Therefore, in order to effectively implement the estimation using (7), a fast computational procedure should be used with a minimum number of arithmetic operations. It is proposed to apply such a procedure that is based on the general approach of fast digital signal processing described in [10,11].…”