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Cross-entropy (CE) based stopping criteria is known for its early termination capability of the turbo decoding iterations without scarifying its performance, in terms of bit error rate (BER). This advantage, however, performs well in high signal-to-noise ratio (SNR) albeit requiring infinite iterations at low SNR, thereby resulting in more unwanted computations and decoding delays. In this paper,...
Most of the turbo decoding stopping criteria assume perfect channel reliability available at the receiver since they require a threshold based on signal-to-noise ratio (SNR) information. However, operational environments can vary according to frame sizes, code structures and channel reliability requirements, further aggravating the difficulty in threshold determination and convergence or non-convergence...
As far as a Turbo decoder is concerned, the lower Bit Err Rate (BER) at the expense of acceptable and feasible complexity, the better. In this paper, a method is proposed which employs additional redundant sequence added at the end of tail bits of an information sequence to improve performance of a Turbo decoder. Computer simulation results show that, when L=L'=1024, where L is the length of information...
Turbo codes are widely investigated due to its excellent error control ability since it was proposed and applied in the late 20 th century. But decoding algorithms for Turbo codes were complex, so there is large time delay in iteration processing course in order to obtain the excellent error control properties of turbo codes. This paper proposes an improved adaptive decoding algorithm through deeply...
This paper introduced a novel a priori probability aided (APPA) carrier phase recovery and signal detection algorithm. The algorithm utilized the soft value of the extrinsic information generated by iterative MAP decoders by means of iteration after iteration. This method provided robust carrier phase estimation along with reliable signal decoding with a wide range of phase errors at such low signal-to-noise...
A new iterative channel estimation scheme for V-BLAST MIMO-OFDM systems is proposed in this paper. The channel estimation consists of two parts. Firstly, we use pilot-symbol-aided (PSA) method to interpolate the channel, and get the initial channel estimation of the systems. Then, with Turbo iterative decoding, we feedback the information bits to the channel estimator and the EM algorithm is used...
This paper presents the results of BER improvements in a chaotic phase shift keying (CPSK) CDMA system when turbo iterative decoding techniques are applied. The decoding technique investigated in this system is called the list bidirectional soft output (LBSO) algorithm. In particular, the method of iterative LBSO decoding based on the normalization of extrinsic information is investigated. The results...
The extrinsic information and the received systematic observations exert different influence on decision-making with the change of SNR values for turbo iterative decoding. By multipling a weighted coefficient for the priori information, this paper proposed a novel adaptive iterative soft decoding algorithm for turbo codes, which alters the proportion of the extrinsic information and the received systematic...
In this paper the encoder structure of non-binary turbo codes is presented and the symbol-by-symbol log-MAP decoding algorithm is analyzed in detail. A new scheme of RS-turbo concatenated codes is designed which includes an RS code (255,239,8) and a non-binary Turbo code built from two RSC component codes with m=2 inputs. The simulations were made for frame length N=2048 bits and for the maximum iteration...
In this paper, we investigate and research turbo coding for Bell Lab's Layered Space Time (BLAST) system and propose its encoding and decoding structure. Vertical BLAST (VBLAST) is a important method among BLAST to improve greatly system channel capacity, but because of its interference between transmit antennas, BER (FER) is sharply decreasing. At the receiver, we apply iterative ordered zero-forcing...
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